<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="//www.clinicalbiostats.com/wp-content/plugins/wordpress-seo/css/main-sitemap.xsl"?>
<urlset xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:image="https://www.google.com/schemas/sitemap-image/1.1" xsi:schemaLocation="http://www.sitemaps.org/schemas/sitemap/0.9 http://www.sitemaps.org/schemas/sitemap/0.9/sitemap.xsd https://www.google.com/schemas/sitemap-image/1.1 https://www.google.com/schemas/sitemap-image/1.1/sitemap-image.xsd" xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/automate-sensitivity-runs-with-logging-and-recovery/</loc>
		<lastmod>2026-10-30T18:53:43+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/available-case-mean-reconstruction-in-a-three-visit-study/</loc>
		<lastmod>2026-10-30T18:53:43+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/available-case-restriction-at-a-single-visit/</loc>
		<lastmod>2026-10-30T18:53:43+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/available-case-restrictions-for-conditional-distributions/</loc>
		<lastmod>2026-10-30T18:53:43+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/available-case-restrictions-with-covariate-stratification/</loc>
		<lastmod>2026-10-30T18:53:43+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/available-case-restrictions-with-unequal-pattern-weights/</loc>
		<lastmod>2026-10-30T18:53:43+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/avoiding-survivor-only-claims-in-a-longitudinal-trial/</loc>
		<lastmod>2026-10-30T18:53:43+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/baseline-covariate-regression-within-patterns/</loc>
		<lastmod>2026-10-30T18:53:43+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/baseline-covariates-in-the-selection-equation/</loc>
		<lastmod>2026-10-30T18:53:43+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/baseline-severity-and-differential-dropout-in-an-asthma-trial/</loc>
		<lastmod>2026-10-30T18:53:43+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/bayes-rule-between-selection-and-pattern-mixture-factors/</loc>
		<lastmod>2026-10-30T18:53:43+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/bayesian-estimation-and-prior-choices/</loc>
		<lastmod>2026-10-30T18:53:43+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/binary-outcomes-with-pattern-specific-logistic-models/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/boundary-estimates-in-selection-models/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/boundary-patterns-and-missing-neighbors/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/build-reproducible-sensitivity-analysis-specifications/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/building-a-purposeful-set-of-alternative-mnar-models/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/building-a-trial-model-with-current-outcome-dropout/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/calibrating-delta-values-with-external-evidence/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/casewise-scores-for-incomplete-longitudinal-records/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/chain-rule-factorization-of-longitudinal-outcomes/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/changing-the-order-of-conditional-factors/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/checking-distributional-fit-within-each-pattern/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/checking-implied-dropout-probabilities-across-outcome-ranges/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/checking-likelihood-equivalence-across-factorizations/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/checking-the-j2r-transition-at-dropout/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/checking-the-reference-model-before-applying-delta/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/choosing-a-factorization-for-a-specified-joint-model/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/choosing-an-intercurrent-event-strategy/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/bayesian-estimation-of-pattern-specific-distributions/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/bayesian-model-evidence-and-prior-sensitivity/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/bayesian-priors-under-nonidentification/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/binary-outcomes-under-current-outcome-selection/</loc>
		<lastmod>2026-10-30T18:53:44+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/choosing-effect-scales-for-clinical-estimands/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/choosing-grid-resolution-near-a-tipping-boundary/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/choosing-latent-effects-for-both-processes/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/choosing-starting-values-for-likelihood-optimization/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/choosing-the-longitudinal-outcome-model/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/choosing-the-scale-for-a-delta-parameter/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/clinical-benefit-thresholds-under-sensitivity-analysis/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/closed-form-probit-normal-dropout-probabilities/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/code-pattern-mixture-identifying-restrictions/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/coding-monotone-dropout-patterns/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/coherent-delta-shifts-for-repeated-outcomes/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/common-error-applying-reference-rules-before-dropout/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/common-error-confusing-pattern-specific-and-population-summaries/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/common-error-giving-selection-coefficients-causal-meaning/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/common-error-replacing-only-post-dropout-means/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/common-error-replacing-the-missing-current-outcome/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/common-error-treating-dropout-pattern-as-an-ordinary-covariate/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/common-error-treating-nonsignificance-as-robustness/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/common-errors-in-delta-parameterization/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/common-errors-in-reading-joint-factorizations/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/common-errors-in-selection-model-likelihood-inference/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/common-errors-in-tipping-point-reporting/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/common-misreadings-of-local-influence-plots/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/common-pitfalls-in-ranking-mnar-models/</loc>
		<lastmod>2026-10-30T18:53:45+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/common-specification-errors-and-reporting-limits/</loc>
		<lastmod>2026-10-30T18:53:46+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/comparing-dropout-models-with-different-outcome-histories/</loc>
		<lastmod>2026-10-30T18:53:46+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/comparing-implied-missing-outcome-distributions/</loc>
		<lastmod>2026-10-30T18:53:46+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/comparing-j2r-and-copy-reference-in-a-trial-example/</loc>
		<lastmod>2026-10-30T18:53:46+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/comparing-mnar-models-at-the-level-of-observed-data-fit/</loc>
		<lastmod>2026-10-30T18:53:46+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/comparing-predictions-across-dropout-patterns/</loc>
		<lastmod>2026-10-30T18:53:46+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/comparing-restrictions-for-the-same-missing-outcome/</loc>
		<lastmod>2026-10-30T18:53:46+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/comparing-selection-and-pattern-mixture-extrapolations/</loc>
		<lastmod>2026-10-30T18:53:46+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/comparing-shared-parameter-structures/</loc>
		<lastmod>2026-10-30T18:53:46+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/comparing-three-factorizations-of-one-joint-law/</loc>
		<lastmod>2026-10-30T18:53:46+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/comparing-tipping-points-across-analyses/</loc>
		<lastmod>2026-10-30T18:53:46+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/comparing-treatment-effects-across-mnar-specifications/</loc>
		<lastmod>2026-10-30T18:53:46+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/competing-events-and-truncated-outcomes/</loc>
		<lastmod>2026-10-30T18:54:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/complementary-log-log-current-outcome-hazards/</loc>
		<lastmod>2026-10-30T18:54:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/complete-case-restriction-for-two-wave-dropout/</loc>
		<lastmod>2026-10-30T18:54:24+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/complete-case-restrictions-with-baseline-covariates/</loc>
		<lastmod>2026-10-30T18:54:24+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/complete-case-restrictions-with-nonlinear-outcomes/</loc>
		<lastmod>2026-10-30T18:54:24+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/composite-strategy-estimands/</loc>
		<lastmod>2026-10-30T18:54:24+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/computing-pattern-specific-likelihoods/</loc>
		<lastmod>2026-10-30T18:54:25+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/conditional-carryover-of-observed-treatment-history/</loc>
		<lastmod>2026-10-30T18:54:25+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/conditional-dropout-odds-and-marginal-risks/</loc>
		<lastmod>2026-10-30T18:54:25+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/conditional-independence-given-shared-random-effects/</loc>
		<lastmod>2026-10-30T18:54:25+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/conditional-independence-in-shared-parameter-factorizations/</loc>
		<lastmod>2026-10-30T18:54:25+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/conditional-mar-with-baseline-and-time-varying-covariates/</loc>
		<lastmod>2026-10-30T18:54:25+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/conditional-neighboring-case-restrictions-within-history/</loc>
		<lastmod>2026-10-30T18:54:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/conditional-normal-distributions-for-missing-visits/</loc>
		<lastmod>2026-10-30T18:54:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/conditional-prediction-of-outcomes-after-dropout/</loc>
		<lastmod>2026-10-30T18:54:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/conditional-treatment-estimates-and-standard-errors/</loc>
		<lastmod>2026-10-30T18:54:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/conditioning-on-baseline-covariates/</loc>
		<lastmod>2026-10-30T18:54:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/conditioning-sets-for-pattern-specific-restrictions/</loc>
		<lastmod>2026-10-30T18:54:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/conditions-for-ignorable-dropout-in-shared-parameter-models/</loc>
		<lastmod>2026-10-30T18:54:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/confidence-envelopes-over-sensitivity-sets/</loc>
		<lastmod>2026-10-30T18:54:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/confidence-intervals-conditional-on-each-assumption/</loc>
		<lastmod>2026-10-30T18:54:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/conflicting-neighboring-constraints-and-coherence/</loc>
		<lastmod>2026-10-30T18:54:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/constructing-clinically-plausible-delta-grids/</loc>
		<lastmod>2026-10-30T18:54:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/constructing-compatible-missing-outcome-laws/</loc>
		<lastmod>2026-10-30T18:54:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/constructing-the-reference-predictive-distribution/</loc>
		<lastmod>2026-10-30T18:54:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/convergence-and-boundary-diagnostics/</loc>
		<lastmod>2026-10-30T18:54:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/copy-reference-analysis-in-an-active-controlled-trial/</loc>
		<lastmod>2026-10-30T18:54:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/copy-reference-distribution-restrictions/</loc>
		<lastmod>2026-10-30T18:54:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/copy-reference-imputation-across-dropout-patterns/</loc>
		<lastmod>2026-10-30T18:54:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/count-outcomes-across-dropout-patterns/</loc>
		<lastmod>2026-10-30T18:54:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/count-outcomes-with-overdispersed-dropout-models/</loc>
		<lastmod>2026-10-30T18:54:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/covariance-structures-and-reference-based-imputation/</loc>
		<lastmod>2026-10-30T18:54:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/covariance-structures-within-dropout-patterns/</loc>
		<lastmod>2026-10-30T18:54:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/covariate-conditional-delta-adjustments/</loc>
		<lastmod>2026-10-30T18:54:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/covariate-standardization-of-pattern-specific-summaries/</loc>
		<lastmod>2026-10-30T18:54:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/covariate-stratified-identification-and-bounds/</loc>
		<lastmod>2026-10-30T18:54:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/covariates-and-treatment-effects-in-joint-outcome-dropout-models/</loc>
		<lastmod>2026-10-30T18:54:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/cross-validation-for-mnar-models-and-its-limits/</loc>
		<lastmod>2026-10-30T18:54:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/current-outcome-versus-lagged-outcome-dropout-dependence/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/death-and-missing-functional-outcomes-in-a-stroke-trial/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/death-in-the-estimand-framework/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/decision-rules-that-determine-a-tipping-point/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/decomposing-marginal-covariance-by-pattern/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/defining-a-tipping-point-for-a-missing-data-sensitivity-analysis/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/defining-dropout-time-in-a-visit-based-study/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/defining-pattern-specific-outcome-distributions/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/defining-plausible-sensitivity-sets/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/defining-variables-for-repeated-measures-trials/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/delta-adjustment-as-a-pattern-mixture-sensitivity-parameter/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/delta-adjustment-for-intermittent-missingness/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/delta-adjustment-with-sparse-observed-data/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/delta-adjustments-for-counts-and-rates/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/delta-adjustments-for-ordinal-outcomes-in-missing-data-models/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/delta-interactions-for-clinically-distinct-subgroups/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/delta-sensitivity-in-a-cardiovascular-prevention-trial/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/depression-trial-with-intermittent-visits-and-later-dropout/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/deriving-available-case-mixtures-across-dropout-patterns/</loc>
		<lastmod>2026-10-30T18:54:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/deriving-copy-reference-conditional-distributions/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/deriving-ignorability-from-mar-and-parameter-distinctness/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/deriving-j2r-conditional-means-from-gaussian-models/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/deriving-neighboring-case-constraints-across-visits/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/deriving-scores-with-missing-outcomes/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/deriving-the-case-weight-influence-direction/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/deriving-the-complete-case-restriction-sequentially/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/deriving-the-joint-likelihood-with-dropout-contributions/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/deriving-the-marginal-mean-under-additive-delta-adjustment/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/deriving-the-observed-data-likelihood-by-marginalization/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/deriving-the-two-visit-joint-distribution/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/deriving-visit-specific-marginal-means/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/diabetes-trial-hba1c-missing-after-adverse-events/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/diagnose-failed-fits-and-unstable-imputations/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/diagnosing-available-case-incompatibilities/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/diagnosing-implausible-copy-reference-distributions/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/diagnosing-implausible-delta-adjusted-predictions/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/diagnosing-incoherent-estimand-definitions/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/diagnosing-sparse-and-unstable-pattern-estimates/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/diagnostic-tables-for-dropout-by-observed-history/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/directional-curvature-for-prespecified-subject-changes/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/discontinuation-and-treatment-policy-questions/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/discrete-time-dropout-hazards-and-response-indicators/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/distinguishing-dropout-from-planned-administrative-censoring/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/distributional-restrictions-versus-mean-restrictions/</loc>
		<lastmod>2026-10-30T18:54:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/dropout-after-a-poor-last-observed-outcome/</loc>
		<lastmod>2026-10-30T18:54:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/dropout-dependence-on-outcome-level-versus-change/</loc>
		<lastmod>2026-10-30T18:54:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/dropout-depending-on-the-unobserved-current-outcome/</loc>
		<lastmod>2026-10-30T18:54:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/dropout-driven-by-an-unobserved-future-trajectory/</loc>
		<lastmod>2026-10-30T18:54:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/eigenvectors-as-influential-perturbation-patterns/</loc>
		<lastmod>2026-10-30T18:54:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/eliciting-delta-values-from-clinical-experts/</loc>
		<lastmod>2026-10-30T18:54:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/em-estimation-for-shared-random-effects-models/</loc>
		<lastmod>2026-10-30T18:54:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/encode-longitudinal-missingness-patterns-for-analysis/</loc>
		<lastmod>2026-10-30T18:54:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/encoding-monotone-dropout-patterns/</loc>
		<lastmod>2026-10-30T18:54:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/end-to-end-pattern-mixture-analysis-of-a-dropout-trial/</loc>
		<lastmod>2026-10-30T18:54:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/equivalent-selection-and-pattern-mixture-representations/</loc>
		<lastmod>2026-10-30T18:54:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/estimand-estimator-and-estimate/</loc>
		<lastmod>2026-10-30T18:54:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/estimand-populations-and-generalizability/</loc>
		<lastmod>2026-10-30T18:54:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/estimand-specification-tables-for-trials/</loc>
		<lastmod>2026-10-30T18:54:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/estimands-as-clinical-questions/</loc>
		<lastmod>2026-10-30T18:54:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/estimands-under-different-treatment-conditions/</loc>
		<lastmod>2026-10-30T18:54:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/estimator-alignment-for-treatment-policy-questions/</loc>
		<lastmod>2026-10-30T18:54:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/event-timing-in-longitudinal-estimands/</loc>
		<lastmod>2026-10-30T18:54:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/exact-case-deletion-as-an-influence-benchmark/</loc>
		<lastmod>2026-10-30T18:54:53+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/external-data-and-transport-assumptions/</loc>
		<lastmod>2026-10-30T18:54:53+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/factorizing-nonmonotone-missingness-patterns/</loc>
		<lastmod>2026-10-30T18:54:53+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/feasible-delta-ranges-for-bounded-outcomes/</loc>
		<lastmod>2026-10-30T18:54:53+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/finding-a-tipping-threshold-by-bracketing/</loc>
		<lastmod>2026-10-30T18:54:53+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/finite-sample-bias-in-selection-model-estimates/</loc>
		<lastmod>2026-10-30T18:54:53+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/first-order-case-deletion-approximation/</loc>
		<lastmod>2026-10-30T18:54:53+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/fit-agreement-versus-extrapolation-agreement/</loc>
		<lastmod>2026-10-30T18:54:53+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/fit-and-save-a-baseline-mar-analysis/</loc>
		<lastmod>2026-10-30T18:54:53+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/forward-and-backward-neighbor-assignments/</loc>
		<lastmod>2026-10-30T18:54:53+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/gaussian-outcomes-with-current-outcome-dropout/</loc>
		<lastmod>2026-10-30T18:54:53+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/gaussian-pattern-specific-models/</loc>
		<lastmod>2026-10-30T18:54:53+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/generate-delta-grids-and-tipping-point-displays/</loc>
		<lastmod>2026-10-30T18:54:53+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/graphical-summaries-of-assumption-indexed-effects/</loc>
		<lastmod>2026-10-30T18:54:53+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/hessian-diagnostics-for-likelihood-fits/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/hiv-trial-outcomes-after-treatment-discontinuation/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/how-outcome-history-changes-dropout-probabilities/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/how-selection-shifts-observed-outcome-distributions/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/hypothetical-estimands/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/identifiability-of-shared-effects-and-their-association/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/identification-of-hypothetical-estimands/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/identified-functionals-and-unidentified-functionals/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/identifying-restrictions-in-a-chronic-pain-trial/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/ignorability-conditions-for-likelihood-based-outcome-analysis/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/implement-jump-to-reference-and-copy-reference-imputation/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/including-treatment-and-baseline-covariates/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/influence-diagnostics-with-outcome-dependent-dropout/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/influence-on-a-treatment-effect-contrast/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/information-criteria-for-comparing-mnar-candidates/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/integrated-sensitivity-analysis-of-a-growth-hormone-trial/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/integrating-out-outcomes-after-dropout/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/integrating-random-effects-in-the-observed-data-likelihood/</loc>
		<lastmod>2026-10-30T18:54:54+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/integrating-shared-random-effects-from-the-joint-law/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/intercurrent-events-versus-missing-outcomes/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/intermittent-missing-visits-before-permanent-dropout/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/interpreting-association-parameters-in-shared-parameter-models/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/interpreting-copied-reference-variability/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/interpreting-current-outcome-selection-coefficients/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/interpreting-delta-adjusted-outcome-distributions/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/interpreting-recorded-reasons-for-withdrawal/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/interpreting-while-on-treatment-effects/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/j2r-for-dropout-at-different-follow-up-visits/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/j2r-under-time-varying-control-response/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/joint-assumptions-for-both-trial-arms/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/joint-conclusions-across-multiple-outcomes/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/joint-factorization-for-outcomes-and-dropout-times/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/joint-symptom-outcomes-in-a-lupus-trial/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/jump-to-reference-mean-restrictions/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/likelihood-based-sensitivity-curves-for-treatment-effects/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/likelihood-contributions-under-monotone-dropout-in-missing-data-models/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/likelihood-displacement-and-its-local-quadratic-approximation/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/likelihood-for-pattern-specific-normal-models/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/likelihood-ratio-tests-for-selection-model-constraints/</loc>
		<lastmod>2026-10-30T18:54:55+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/likelihood-ridges-between-outcome-and-response-effects/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/local-influence-for-missingness-parameter-estimates/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/local-influence-in-a-small-surgical-trial/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/locating-timepoints-and-subgroups-with-model-disagreement/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/location-scale-delta-models-for-residual-variability/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/log-odds-delta-adjustments-for-binary-outcomes/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/logistic-dependence-on-the-current-outcome/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/logit-versus-probit-dropout-links/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/louis-identity-for-observed-information-in-missing-data-models/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/mar-given-the-recorded-outcome-history/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/marginal-treatment-comparisons-from-pattern-specific-fits/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/marginalizing-binary-logistic-fits-across-dropout-patterns/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/marginalizing-missing-outcomes-within-a-pattern/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/maximum-likelihood-estimation-with-adaptive-quadrature/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/mcar-in-longitudinal-follow-up/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/mean-shifts-versus-full-distribution-shifts/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/mean-structures-across-dropout-patterns/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/mechanism-classification-workshop-for-a-longitudinal-trial/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/missed-visits-temporary-absence-and-permanent-withdrawal/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/missing-data-within-a-defined-estimand/</loc>
		<lastmod>2026-10-30T18:54:56+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/missingness-after-treatment-discontinuation/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/mistaking-marginal-equality-for-conditional-equality/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/mixed-outcome-types-in-pattern-specific-distributions/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/mixed-strategies-for-multiple-events/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/mnar-through-dependence-on-unobserved-outcomes/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/model-checking-for-joint-outcome-dropout-fits/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/model-envelopes-for-sensitivity-conclusions/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/model-fit-does-not-validate-missingness-assumptions/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/modeling-time-trends-within-dropout-patterns/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/monotone-dropout-histories-in-longitudinal-studies/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/monotone-dropout-patterns-under-reference-based-rules/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/monotone-dropout-versus-intermittent-missingness/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/monte-carlo-integration-for-non-gaussian-outcomes/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/multiple-local-maxima-in-selection-model-likelihoods/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/multiplicative-delta-adjustments-for-log-scale-outcomes/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/multiplicity-and-selective-reporting-across-sensitivity-analyses/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/neighboring-case-mean-constraints-with-worked-calculations/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/neighboring-case-restriction-for-adjacent-dropout-patterns/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/neighboring-case-restrictions-in-a-three-visit-trial/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/nonadherence-and-dose-modification/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/noninferiority-trial-under-differential-loss-to-follow-up/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/nonlinear-covariate-effects-within-dropout-patterns/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/nonlinear-outcome-trajectories-under-selection/</loc>
		<lastmod>2026-10-30T18:54:57+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/nonstandard-likelihood-ratio-calibration/</loc>
		<lastmod>2026-10-30T18:54:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/normal-curvature-of-the-likelihood-displacement/</loc>
		<lastmod>2026-10-30T18:54:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/notation-for-outcome-and-response-pattern-vectors/</loc>
		<lastmod>2026-10-30T18:54:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/notation-for-reference-based-imputation/</loc>
		<lastmod>2026-10-30T18:54:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/observable-data-compatibility-checks-for-restrictions/</loc>
		<lastmod>2026-10-30T18:55:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/nuisance-adjusted-curvature-for-a-target-parameter/</loc>
		<lastmod>2026-10-30T18:55:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/numerical-checks-for-local-influence-calculations/</loc>
		<lastmod>2026-10-30T18:55:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/numerical-integration-in-selection-model-likelihoods/</loc>
		<lastmod>2026-10-30T18:55:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/observable-implications-and-untestable-restrictions/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/observable-restrictions-from-multiple-missingness-patterns/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/observational-equivalence-of-complete-data-models/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/observed-data-contributions-by-dropout-pattern/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/observed-data-distributions-and-identification-targets/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/observed-data-likelihood-contributions-by-dropout-time/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/observed-data-likelihood-contributions-by-pattern/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/observed-data-likelihood-for-a-specified-selection-model/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/observed-data-residual-checks-across-mnar-candidates/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/odds-ratio-parameterizations-for-current-outcome-selection/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/oncology-trial-attrition-after-disease-progression/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/operational-definitions-of-intercurrent-events/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/ordering-composite-outcomes-with-death/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/ordinal-outcomes-across-dropout-patterns/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/ordinal-outcomes-and-proportional-odds-selection/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/outcome-dependent-versus-shared-covariate-dropout-models/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/outcomes-measured-after-an-intercurrent-event/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/parameter-draws-for-reference-based-multiple-imputation/</loc>
		<lastmod>2026-10-30T18:55:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/parametric-bootstrap-inference-for-selection-models/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/pattern-aggregation-and-restriction-induced-borrowing/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/pattern-by-treatment-interactions/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/pattern-labels-and-conditional-outcome-distributions/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/pattern-mixture-factorization-for-longitudinal-outcomes/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/pattern-specific-delta-parameters/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/pattern-specific-influence-across-dropout-histories/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/pattern-specific-quantiles-and-tail-behavior/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/pattern-weights-and-the-population-mixture/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/pediatric-vaccine-trial-with-age-dependent-follow-up/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/perturbing-covariates-in-the-selection-equation/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/perturbing-observed-outcomes-without-altering-missing-values/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/perturbing-subject-specific-selection-probabilities/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/plotting-observed-and-imputed-reference-based-trajectories/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/plotting-post-dropout-trajectories-across-candidate-models/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/point-identification-versus-partial-identification/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/pool-estimates-across-imputations-and-scenarios/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/population-level-summaries-and-treatment-contrasts/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/positivity-and-empty-pattern-identification-failures/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/posterior-predictive-checks-for-candidate-mnar-models/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/pre-specifying-sensitivity-result-summaries/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/predicting-dropout-from-observed-outcome-histories/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/prespecified-and-exploratory-sensitivity-scenarios/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/principal-stratum-estimands/</loc>
		<lastmod>2026-10-30T18:55:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/principal-stratum-interpretation-and-identification/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/probit-selection-on-the-current-outcome/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/profile-likelihood-confidence-intervals-for-mnar-parameters/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/profile-score-and-curvature/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/profiling-nuisance-parameters-for-selection-effects/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/propagating-imputation-model-uncertainty-at-fixed-delta/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/proper-mi-variance-for-reference-based-imputations/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/quadrature-for-logistic-normal-selection-models/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/quantifying-treatment-effect-robustness-across-mnar-models/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/quantile-based-delta-adjustments/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/random-intercept-links-for-continuous-outcomes-and-dropout/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/random-slope-links-and-time-varying-dropout-risk/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/reading-factorizations-from-conditional-statements/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/reading-scenario-tables-without-cherry-picking/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/reading-tipping-point-contour-plots/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/reference-based-imputation-in-a-maintenance-trial/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/reference-groups-in-stratified-randomized-trials/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/refreshment-samples-and-their-identifying-assumptions/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/relapse-related-missing-reports-in-a-smoking-cessation-trial/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/relating-a-tipping-threshold-to-a-plausible-range/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/reparameterization-and-scaling-for-stable-optimization/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/report-sensitivity-results-in-an-auditable-format/</loc>
		<lastmod>2026-10-30T18:55:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/reporting-reference-based-imputation-assumptions/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/reporting-reproducible-likelihood-analyses/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/reporting-sensitivity-results-in-a-stroke-trial/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/reporting-subject-level-influence-in-mnar-analyses/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/reporting-the-assumptions-behind-pattern-restrictions/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/reporting-tipping-point-tables/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/reporting-which-conclusions-change-across-scenarios/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/representing-longitudinal-observation-and-dropout-indicators/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/rescue-medication-as-an-intercurrent-event-in-missing-data-models/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/residual-diagnostics-for-pattern-specific-regressions/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/restriction-choices-at-the-final-unobserved-visit/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/restrictions-that-tighten-missing-data-bounds/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/restrictions-under-covariate-imbalance-across-patterns/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/rheumatoid-arthritis-outcomes-after-rescue-medication/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/risk-difference-delta-adjustments-for-binary-outcomes/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/risk-sets-for-visit-specific-dropout/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/robust-conclusions-across-assumption-sets/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/robust-estimation-within-pattern-strata/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/robustness-regions-rather-than-single-thresholds/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/rubin-rule-inference-after-reference-based-imputation/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/run-selection-model-sensitivity-fits-over-parameter-grids/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/sampling-uncertainty-versus-assumption-uncertainty/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/scale-dependence-of-treatment-effect-robustness/</loc>
		<lastmod>2026-10-30T18:55:33+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/scaling-outcomes-for-meaningful-selection-parameters/</loc>
		<lastmod>2026-10-30T18:55:34+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/scaling-perturbations-for-comparable-subject-diagnostics/</loc>
		<lastmod>2026-10-30T18:55:34+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/selecting-a-reference-arm-in-multiarm-trials/</loc>
		<lastmod>2026-10-30T18:55:34+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/sensitivity-parameters-as-coordinates-of-unidentified-information/</loc>
		<lastmod>2026-10-30T18:55:34+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/sensitivity-to-dropout-pattern-definitions/</loc>
		<lastmod>2026-10-30T18:55:34+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/sensitivity-to-latent-effect-distributions-and-link-functions/</loc>
		<lastmod>2026-10-30T18:55:34+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/separating-current-and-lagged-outcome-effects/</loc>
		<lastmod>2026-10-30T18:55:34+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/sequential-copy-reference-imputation-across-follow-up-visits/</loc>
		<lastmod>2026-10-30T18:55:34+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/sequential-factorization-of-response-indicators/</loc>
		<lastmod>2026-10-30T18:55:34+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/sequential-j2r-imputation-across-follow-up-visits/</loc>
		<lastmod>2026-10-30T18:56:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/sequential-mar-across-repeated-follow-up-visits/</loc>
		<lastmod>2026-10-30T18:56:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/sequential-outcome-distributions-within-patterns/</loc>
		<lastmod>2026-10-30T18:56:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/several-competing-directions-of-high-curvature/</loc>
		<lastmod>2026-10-30T18:56:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/shared-effects-in-continuous-time-dropout-hazards/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/shared-effects-in-discrete-time-dropout-hazards/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/shared-parameter-analysis-of-relapse-and-attrition/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/shared-random-effects-as-links-between-outcome-and-dropout/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/sharp-bounds-for-a-missing-binary-outcome/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/sign-conventions-and-the-direction-of-a-tipping-point/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/sign-conventions-for-missing-outcome-shifts/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/simulation-based-comparison-under-known-missingness-mechanisms/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/skewed-continuous-outcomes-by-dropout-pattern/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/small-reference-arms-and-unstable-predictive-distributions/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/sparse-completer-patterns-and-extrapolation/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/standard-errors-for-pattern-weighted-summaries/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/standardized-deltas-and-clinical-units/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/statistical-and-clinical-tipping-points/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/statistical-significance-versus-clinical-robustness/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/structural-nonidentification-versus-weak-identification/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/subgroup-treatment-effects-under-missingness-assumptions/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/subject-contributions-to-the-observed-selection-likelihood/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/symptom-driven-attrition-in-a-clinical-follow-up-study/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/the-diggle-kenward-selection-factorization/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/the-five-attributes-of-a-trial-estimand/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/the-identification-gap-in-a-pattern-mixture-model/</loc>
		<lastmod>2026-10-30T18:56:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/the-joint-law-of-response-patterns/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/the-mar-reference-distribution-and-the-delta-departure/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/the-pattern-mixture-factorization/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/the-selection-factorization/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/the-shared-parameter-factorization/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/the-status-of-outcomes-collected-at-withdrawal/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/time-specific-delta-parameters-in-longitudinal-data/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/time-varying-covariates-and-temporal-ordering/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/timing-the-dropout-decision-and-latent-current-outcomes/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/tipping-point-boundaries-with-two-sensitivity-parameters/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/tipping-point-interpretation-on-different-outcome-scales/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/tipping-point-summaries-across-subgroups/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/tipping-point-summaries-for-multiple-outcomes/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/tipping-points-based-on-confidence-interval-conclusions/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/tipping-points-for-effect-direction/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/tipping-points-in-a-rare-disease-trial/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/tracing-a-one-parameter-tipping-point/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/tracing-model-disagreement-to-extrapolation-assumptions/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/trajectory-level-perturbations-under-repeated-measures/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/translating-protocol-language-into-estimands/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/treating-identifying-restrictions-as-testable-facts/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/treatment-arm-regression-and-reference-arm-borrowing/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/treatment-arm-specific-delta-parameters/</loc>
		<lastmod>2026-10-30T18:56:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/treatment-arm-specific-dropout-equations/</loc>
		<lastmod>2026-10-30T18:56:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/treatment-arm-specific-dropout-mechanisms/</loc>
		<lastmod>2026-10-30T18:56:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/treatment-benefit-before-dropout-and-reference-behavior-afterward/</loc>
		<lastmod>2026-10-30T18:56:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/treatment-by-outcome-interactions-in-dropout/</loc>
		<lastmod>2026-10-30T18:56:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/treatment-contrasts-within-dropout-patterns/</loc>
		<lastmod>2026-10-30T18:56:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/treatment-effect-bounds-with-arm-specific-response-rates/</loc>
		<lastmod>2026-10-30T18:56:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/treatment-effect-estimation-under-shared-parameter-dropout/</loc>
		<lastmod>2026-10-30T18:56:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/treatment-effect-surfaces-across-two-sensitivity-parameters/</loc>
		<lastmod>2026-10-30T18:56:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/treatment-policy-estimand-with-switching-therapies/</loc>
		<lastmod>2026-10-30T18:56:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/treatment-policy-estimands/</loc>
		<lastmod>2026-10-30T18:56:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/treatment-switching-and-subsequent-therapy/</loc>
		<lastmod>2026-10-30T18:56:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/uncertainty-for-treatment-contrasts-under-selection-models/</loc>
		<lastmod>2026-10-30T18:56:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/uncertainty-in-an-estimated-tipping-point/</loc>
		<lastmod>2026-10-30T18:56:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/unequal-visit-schedules-and-available-histories/</loc>
		<lastmod>2026-10-30T18:56:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/validate-sensitivity-code-with-simulated-data/</loc>
		<lastmod>2026-10-30T18:56:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/validating-quadrature-accuracy/</loc>
		<lastmod>2026-10-30T18:56:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/validation-samples-and-missingness-identification/</loc>
		<lastmod>2026-10-30T18:56:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/variance-and-correlation-implications-of-borrowed-distributions/</loc>
		<lastmod>2026-10-30T18:56:08+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/weak-identification-in-selection-model-likelihoods/</loc>
		<lastmod>2026-10-30T18:56:08+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/weighted-estimating-equations-for-pattern-specific-means/</loc>
		<lastmod>2026-10-30T18:56:08+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/weighted-likelihood-perturbations-for-subject-influence/</loc>
		<lastmod>2026-10-30T18:56:08+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/what-j2r-and-copy-reference-imply-for-covariances/</loc>
		<lastmod>2026-10-30T18:56:08+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/what-local-influence-measures-in-selection-models/</loc>
		<lastmod>2026-10-30T18:56:08+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/what-the-observed-data-can-diagnose-about-delta/</loc>
		<lastmod>2026-10-30T18:56:08+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/what-the-observed-likelihood-establishes/</loc>
		<lastmod>2026-10-30T18:56:08+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/when-a-sensitivity-analysis-has-multiple-tipping-points/</loc>
		<lastmod>2026-10-30T18:56:09+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/when-auxiliary-variables-add-identification/</loc>
		<lastmod>2026-10-30T18:56:09+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/when-equally-fitting-mnar-models-disagree/</loc>
		<lastmod>2026-10-30T18:56:09+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/while-on-treatment-estimands/</loc>
		<lastmod>2026-10-30T18:56:09+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/why-different-estimands-give-different-answers/</loc>
		<lastmod>2026-10-30T18:56:09+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/why-good-model-fit-cannot-validate-an-mnar-extrapolation/</loc>
		<lastmod>2026-10-30T18:56:09+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/why-mechanism-labels-depend-on-the-conditioning-set/</loc>
		<lastmod>2026-10-30T18:56:09+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/why-repeated-outcomes-do-not-automatically-identify-dropout-dependence/</loc>
		<lastmod>2026-10-30T18:56:09+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/why-wald-intervals-fail-near-likelihood-ridges/</loc>
		<lastmod>2026-10-30T18:56:09+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/worked-analysis-of-gaussian-outcomes-and-a-dropout-hazard/</loc>
		<lastmod>2026-10-30T18:56:09+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/worked-analysis-with-binary-repeated-outcomes/</loc>
		<lastmod>2026-10-30T18:56:09+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/worked-comparison-of-mnar-models-in-a-longitudinal-trial/</loc>
		<lastmod>2026-10-30T18:56:09+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/worked-diagnosis-of-an-unstable-likelihood-fit/</loc>
		<lastmod>2026-10-30T18:56:09+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/worked-estimand-analysis-for-a-discontinuation-trial/</loc>
		<lastmod>2026-10-30T18:56:09+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/worked-estimand-analysis-for-a-rescue-therapy-trial/</loc>
		<lastmod>2026-10-30T18:56:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/worked-example-a-one-dimensional-tipping-analysis/</loc>
		<lastmod>2026-10-30T18:56:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/worked-example-a-two-dimensional-tipping-region/</loc>
		<lastmod>2026-10-30T18:56:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/worked-example-continuous-outcome-delta-imputation/</loc>
		<lastmod>2026-10-30T18:56:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/worked-example-longitudinal-delta-adjustment/</loc>
		<lastmod>2026-10-30T18:56:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/worked-example-opposite-conclusions-from-the-same-data/</loc>
		<lastmod>2026-10-30T18:56:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/worked-example-treatment-effect-conclusions-across-scenarios/</loc>
		<lastmod>2026-10-30T18:56:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/worked-influence-analysis-of-a-longitudinal-trial-participant/</loc>
		<lastmod>2026-10-30T18:56:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/worked-single-visit-copy-reference-imputation/</loc>
		<lastmod>2026-10-30T18:56:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/worked-single-visit-j2r-imputation/</loc>
		<lastmod>2026-10-30T18:56:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-pattern-mixture-and-selection-models/worked-three-visit-gaussian-example/</loc>
		<lastmod>2026-10-30T18:56:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/2sls-normal-equations-and-moment-conditions/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/2sls-versus-ols-standard-errors/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/2sls-with-multiple-endogenous-regressors/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/2sls-with-multiple-instruments/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-binary-outcome-bounds-case-study/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-binary-outcome-example-of-complier-effects/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-bounded-continuous-outcome-workshop/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-causal-graph-for-instrument-validity/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-clinical-example-of-negative-control-diagnostics/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-complete-ate-weighting-calculation/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-complete-att-weighting-calculation/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-complete-overlap-weighting-calculation/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-complete-subclassification-analysis/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-doubly-robust-analysis-of-a-matched-cohort/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-finite-support-bounds-problem-by-hand/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-policy-evaluation-with-placebo-outcomes/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-potential-outcome-table-for-a-binary-treatment/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-practical-workflow-for-estimating-propensity-scores/</loc>
		<lastmod>2026-10-30T19:07:20+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-reproducible-workflow-for-weighting-and-stratification/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-worked-anderson-rubin-analysis-with-one-instrument/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-worked-balance-diagnostic-workflow/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-worked-clustered-panel-2sls-analysis/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-worked-comparison-of-nearest-neighbor-and-caliper-matching/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-worked-constrained-optimal-matching-problem/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-worked-cross-sectional-2sls-analysis/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-worked-e-value-calculation-from-a-risk-ratio/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-worked-example-of-identification-by-stratification/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-worked-first-stage-diagnostic-assessment/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-worked-full-matching-allocation/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-worked-full-matching-problem-with-ratio-limits/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-worked-observational-identification-problem/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-worked-wald-calculation-from-an-encouragement-trial/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-worked-weak-iv-analysis-with-multiple-instruments/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/a-workflow-for-diagnosing-residual-bias/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/accounting-for-exclusions-attrition-and-analysis-samples/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/additive-structural-mean-models-on-the-risk-difference-scale/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/aggregating-stratum-specific-bounds/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/aipw-estimation-of-the-average-treatment-effect/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/aipw-under-correct-and-misspecified-nuisance-models/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/aligning-eligibility-assignment-and-time-zero-in-causal-designs/</loc>
		<lastmod>2026-10-30T19:07:21+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/balancing-overlap-against-sample-retention/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/balancing-scores-and-conditional-covariate-distributions/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/balancing-scores-and-support/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/balancing-under-one-to-one-score-transformations/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/bandwidth-sensitivity-and-support-diagnostics/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/an-encouragement-design-with-treatment-noncompliance/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/anderson-rubin-tests-with-included-covariates/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/anderson-rubin-tests-with-multiple-instruments/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/assessing-a-natural-experiment-instrument-in-practice/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/assessing-data-feasibility-before-emulation/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/assignment-algorithms-for-optimal-matching/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/assumption-audits-for-partial-identification/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/asymptotic-linearity-and-efficiency-of-aipw/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/ate-and-att-under-treatment-effect-heterogeneity/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/auditing-a-natural-experiment-design/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/auditing-an-instrumental-variable-argument/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/augmented-estimation-of-the-average-treatment-effect-on-the-treated/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/average-causal-effects-as-potential-outcome-contrasts/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/avoiding-collider-adjustment-during-feature-selection/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/balance-diagnostics-across-thousands-of-covariates/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/balance-diagnostics-for-multiple-treatment-groups/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/balance-diagnostics-for-rare-and-sparse-covariates/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/balance-diagnostics-for-survey-weighted-samples/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/balance-diagnostics-with-missing-covariates/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/balance-of-covariate-interactions-and-subgroups/</loc>
		<lastmod>2026-10-30T19:07:22+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/baseline-covariate-adjustment-for-precision-in-randomized-trials/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/bayesian-additive-regression-trees-for-propensity-scores/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/bias-correction-at-the-cutoff/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/bootstrap-anderson-rubin-inference/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/bootstrap-diagnostics-for-estimated-bounds/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/bootstrap-inference-for-2sls/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/bootstrap-inference-for-weighted-treatment-effects/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/border-comparisons-as-natural-experiments/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/bounded-unbounded-and-disconnected-iv-confidence-sets/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/bounding-average-selection-bias/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/bounds-for-continuous-outcomes-on-a-known-scale/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/bounds-from-known-population-outcome-means/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/bounds-from-restrictions-on-treatment-effect-heterogeneity/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/building-a-reproducible-emulation-protocol/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/building-an-identification-argument-from-assumptions-to-contrast/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/building-before-and-after-balance-tables/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/building-nuisance-fits-for-aipw/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/building-tables-for-baseline-characteristics-and-balance/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/calculating-binary-outcome-bounds-by-hand/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/calculating-e-values-from-reported-results/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/calibrating-bias-with-negative-control-outcomes/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/calibrating-e-values-against-known-confounders/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/calibrating-gamma-with-measured-covariates/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/calibration-of-estimated-propensity-scores/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/caliper-matching-and-the-local-att/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/caliper-matching-as-a-feasibility-rule/</loc>
		<lastmod>2026-10-30T19:07:23+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/caliper-matching-for-the-average-treatment-effect-on-the-treated/</loc>
		<lastmod>2026-10-30T19:07:24+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/calipers-on-the-logit-propensity-score/</loc>
		<lastmod>2026-10-30T19:07:24+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/capacity-constraints-and-administrative-rationing/</loc>
		<lastmod>2026-10-30T19:07:24+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/censoring-and-missing-outcome-rules/</loc>
		<lastmod>2026-10-30T19:07:24+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-a-caliper-width/</loc>
		<lastmod>2026-10-30T19:07:24+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-a-denominator-for-standardized-mean-differences/</loc>
		<lastmod>2026-10-30T19:07:24+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-a-matching-caliper-with-balance-and-retention/</loc>
		<lastmod>2026-10-30T19:07:24+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-a-matching-method-for-a-study-design/</loc>
		<lastmod>2026-10-30T19:07:24+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-a-regression-discontinuity-bandwidth/</loc>
		<lastmod>2026-10-30T19:07:24+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-a-sensitivity-metric-for-a-matched-study/</loc>
		<lastmod>2026-10-30T19:09:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-a-weak-instrument-diagnostic/</loc>
		<lastmod>2026-10-30T19:09:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-and-calibrating-a-bias-limit/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-between-aipw-and-tmle-for-an-analysis/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-between-ate-att-atu-and-overlap-weights/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-between-bounds-and-a-point-estimate/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-candidate-negative-control-exposures/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-candidate-negative-control-outcomes/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-covariates-for-a-propensity-model/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-figures-for-cohort-flow-and-diagnostics/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-follow-up-horizons-and-endpoints/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-pretreatment-covariates-for-adjustment/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-sample-splits-and-cross-fitting-folds/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-the-effect-scale-in-structural-mean-models/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/choosing-thresholds-from-score-distributions/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/classification-trees-for-propensity-score-estimation/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/classifying-compliance-in-a-medical-offer-study/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/clever-covariates-in-binary-treatment-tmle/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/cloning-strategies-for-grace-period-emulation/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/cluster-robust-2sls-inference/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/cluster-robust-anderson-rubin-tests/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/cluster-robust-first-stage-strength/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/cluster-robust-inference-for-aipw/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/cluster-robust-inference-for-weighted-outcomes/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/coarsened-exact-matching/</loc>
		<lastmod>2026-10-30T19:09:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/coding-categorical-covariates-in-propensity-models/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/coding-instrument-direction-and-treatment-direction/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/collider-adjustment-and-spurious-associations/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/combining-evidence-across-matched-sets/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/combining-monotone-response-and-selection/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/combining-stratum-specific-effects-for-an-ate/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/combining-stratum-specific-effects-for-an-att/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/common-errors-in-inverse-probability-weight-construction/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/common-errors-in-match-ratios-and-control-reuse/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/common-errors-in-nonlinear-outcome-iv-analysis/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/common-errors-in-subclassification-aggregation/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/common-failure-modes-in-automated-feature-selection/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/common-mistakes-in-interpreting-matched-effects/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/common-score-support-versus-covariate-support/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/common-support-restriction-and-the-restricted-ate/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/common-support-restriction-rules/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/common-tmle-implementation-errors/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/communicating-uncertainty-and-statistical-inference/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/comparing-adjustment-specifications-with-balance-diagnostics/</loc>
		<lastmod>2026-10-30T19:10:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/comparing-aipw-and-tmle-estimates-in-finite-samples/</loc>
		<lastmod>2026-10-30T19:10:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/comparing-control-associations-on-compatible-scales/</loc>
		<lastmod>2026-10-30T19:10:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/comparing-conventional-and-weak-iv-robust-intervals/</loc>
		<lastmod>2026-10-30T19:10:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/comparing-gamma-bounds-with-e-values/</loc>
		<lastmod>2026-10-30T19:10:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/comparing-hdps-lasso-and-flexible-learners/</loc>
		<lastmod>2026-10-30T19:10:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/comparing-matching-and-iv-estimates-in-one-study/</loc>
		<lastmod>2026-10-30T19:10:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/comparing-weighted-and-subclassification-estimates/</loc>
		<lastmod>2026-10-30T19:10:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/competing-events-in-target-trial-protocols/</loc>
		<lastmod>2026-10-30T19:10:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/compliance-type-shares-from-potential-treatment-receipt/</loc>
		<lastmod>2026-10-30T19:10:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/conditional-bounds-within-covariate-strata/</loc>
		<lastmod>2026-10-30T19:10:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/conditional-effects-as-weighted-population-effects/</loc>
		<lastmod>2026-10-30T19:10:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/conditional-exchangeability-as-the-goal-of-adjustment/</loc>
		<lastmod>2026-10-30T19:10:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/conditional-exchangeability-given-covariates/</loc>
		<lastmod>2026-10-30T19:10:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/conditional-independence-after-conditioning-on-the-score/</loc>
		<lastmod>2026-10-30T19:10:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/conditional-independence-given-covariates/</loc>
		<lastmod>2026-10-30T19:10:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/conditional-late-within-covariate-strata/</loc>
		<lastmod>2026-10-30T19:10:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/conditional-outcome-means-with-continuous-covariates/</loc>
		<lastmod>2026-10-30T19:10:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/conditional-positivity-for-binary-treatments/</loc>
		<lastmod>2026-10-30T19:10:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/conditional-randomization-under-hidden-bias/</loc>
		<lastmod>2026-10-30T19:10:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/conditional-strength-with-multiple-endogenous-regressors/</loc>
		<lastmod>2026-10-30T19:10:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/conditional-treatment-probability-as-the-propensity-score/</loc>
		<lastmod>2026-10-30T19:10:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/confidence-intervals-from-2sls-estimates/</loc>
		<lastmod>2026-10-30T19:10:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/confidence-intervals-that-include-the-null/</loc>
		<lastmod>2026-10-30T19:10:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/confidence-sets-for-partially-identified-effects/</loc>
		<lastmod>2026-10-30T19:10:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/confounding-structures-that-make-controls-uninformative/</loc>
		<lastmod>2026-10-30T19:10:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/consistency-and-interference-in-instrumental-variable-designs/</loc>
		<lastmod>2026-10-30T19:10:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/consistency-is-not-the-same-as-no-confounding/</loc>
		<lastmod>2026-10-30T19:10:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/consistency-links-observed-and-potential-outcomes/</loc>
		<lastmod>2026-10-30T19:10:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/constrained-optimal-pair-matching/</loc>
		<lastmod>2026-10-30T19:10:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/constructing-an-hdps-feature-matrix/</loc>
		<lastmod>2026-10-30T19:10:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/constructing-conditional-likelihood-ratio-confidence-sets/</loc>
		<lastmod>2026-10-30T19:10:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/constructing-full-matching-subclasses/</loc>
		<lastmod>2026-10-30T19:10:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/constructing-weights-for-the-average-treatment-effect/</loc>
		<lastmod>2026-10-30T19:10:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/control-function-estimation-for-a-binary-treatment-outcome/</loc>
		<lastmod>2026-10-30T19:10:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/control-functions-for-continuous-endogenous-treatments/</loc>
		<lastmod>2026-10-30T19:10:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/control-functions-for-ordinal-outcomes/</loc>
		<lastmod>2026-10-30T19:10:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/control-unit-matching-and-the-atc-target/</loc>
		<lastmod>2026-10-30T19:10:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/converting-odds-ratios-before-computing-e-values/</loc>
		<lastmod>2026-10-30T19:10:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/covariate-adjusted-two-stage-least-squares-in-a-cohort/</loc>
		<lastmod>2026-10-30T19:10:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/covariate-adjustment-in-regression-discontinuity/</loc>
		<lastmod>2026-10-30T19:10:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/covariate-adjustment-with-discrete-pretreatment-variables/</loc>
		<lastmod>2026-10-30T19:10:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/covariate-balance-as-a-design-diagnostic/</loc>
		<lastmod>2026-10-30T19:10:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/covariate-distributions-as-target-population-diagnostics/</loc>
		<lastmod>2026-10-30T19:10:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/covariate-interactions-in-logistic-propensity-models/</loc>
		<lastmod>2026-10-30T19:10:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/covariate-specific-limits-on-selection-bias/</loc>
		<lastmod>2026-10-30T19:10:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/cross-fitting-aipw-with-flexible-learners/</loc>
		<lastmod>2026-10-30T19:10:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/cross-fitting-high-dimensional-propensity-models/</loc>
		<lastmod>2026-10-30T19:10:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/cross-validated-tmle-for-data-adaptive-estimation/</loc>
		<lastmod>2026-10-30T19:10:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/cross-validation-for-propensity-model-tuning/</loc>
		<lastmod>2026-10-30T19:10:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/defining-adherence-and-protocol-deviations/</loc>
		<lastmod>2026-10-30T19:10:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/defining-outcomes-for-emulation/</loc>
		<lastmod>2026-10-30T19:10:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/defining-target-populations-for-causal-effects/</loc>
		<lastmod>2026-10-30T19:10:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/defining-the-feature-space-in-claims-data/</loc>
		<lastmod>2026-10-30T19:10:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/defining-the-hypothetical-assignment-mechanism/</loc>
		<lastmod>2026-10-30T19:10:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/defining-treatment-strategies-and-the-comparator/</loc>
		<lastmod>2026-10-30T19:10:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/deriving-aipw-from-outcome-regression-and-weighting/</loc>
		<lastmod>2026-10-30T19:10:07+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/deriving-bounds-under-monotone-treatment-response/</loc>
		<lastmod>2026-10-30T19:13:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/deriving-covariate-standardization-from-exchangeability/</loc>
		<lastmod>2026-10-30T19:13:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/deriving-logistic-propensity-estimation-from-the-bernoulli-likelihood/</loc>
		<lastmod>2026-10-30T19:13:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/deriving-matched-set-assignment-bounds/</loc>
		<lastmod>2026-10-30T19:13:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/deriving-residual-inclusion-from-a-latent-error-model/</loc>
		<lastmod>2026-10-30T19:13:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/deriving-the-anderson-rubin-test/</loc>
		<lastmod>2026-10-30T19:13:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/deriving-the-difference-in-means-result-in-a-randomized-trial/</loc>
		<lastmod>2026-10-30T19:13:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/deriving-the-fuzzy-regression-discontinuity-wald-ratio/</loc>
		<lastmod>2026-10-30T19:13:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/deriving-the-g-formula-for-a-binary-treatment/</loc>
		<lastmod>2026-10-30T19:13:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/deriving-the-hdps-bias-reduction-heuristic/</loc>
		<lastmod>2026-10-30T19:13:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/deriving-the-late-identification-result/</loc>
		<lastmod>2026-10-30T19:13:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/deriving-the-local-linear-regression-discontinuity-estimator/</loc>
		<lastmod>2026-10-30T19:13:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/deriving-the-overlap-population-estimand/</loc>
		<lastmod>2026-10-30T19:13:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/deriving-the-propensity-score-balancing-property/</loc>
		<lastmod>2026-10-30T19:13:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/deriving-the-risk-ratio-e-value/</loc>
		<lastmod>2026-10-30T19:13:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/deriving-the-tmle-update-from-the-efficient-influence-function/</loc>
		<lastmod>2026-10-30T19:13:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/describing-data-sources-and-record-linkage/</loc>
		<lastmod>2026-10-30T19:13:00+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/describing-propensity-score-model-choices/</loc>
		<lastmod>2026-10-30T19:13:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/design-restrictions-for-limited-overlap/</loc>
		<lastmod>2026-10-30T19:13:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/design-sensitivity-and-sample-size-planning/</loc>
		<lastmod>2026-10-30T19:13:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/designing-protocols-with-treatment-grace-periods/</loc>
		<lastmod>2026-10-30T19:13:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/detecting-immortal-time-errors-in-protocols/</loc>
		<lastmod>2026-10-30T19:13:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/detecting-nonlinear-imbalance-with-basis-terms/</loc>
		<lastmod>2026-10-30T19:13:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/diagnosing-balance-after-flexible-propensity-score-matching/</loc>
		<lastmod>2026-10-30T19:13:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/diagnosing-balance-under-extreme-weights/</loc>
		<lastmod>2026-10-30T19:13:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/diagnosing-separation-and-overfit-in-a-score-model/</loc>
		<lastmod>2026-10-30T19:13:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/diagnosing-skewness-and-tail-imbalance/</loc>
		<lastmod>2026-10-30T19:13:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/diagnosing-the-credibility-of-an-observational-comparison/</loc>
		<lastmod>2026-10-30T19:13:01+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/diagnosing-whether-bounds-are-informative/</loc>
		<lastmod>2026-10-30T19:13:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/diagnostic-checks-for-aipw-and-tmle-estimating-equations/</loc>
		<lastmod>2026-10-30T19:13:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/dimension-reduction-with-causal-structure-constraints/</loc>
		<lastmod>2026-10-30T19:13:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/direct-effects-that-violate-exclusion/</loc>
		<lastmod>2026-10-30T19:13:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/direct-standardization-across-propensity-score-strata/</loc>
		<lastmod>2026-10-30T19:13:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/discarded-units-and-target-population-change/</loc>
		<lastmod>2026-10-30T19:13:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/discretizing-continuous-covariates-for-bounds/</loc>
		<lastmod>2026-10-30T19:13:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/distance-to-college-as-an-instrument/</loc>
		<lastmod>2026-10-30T19:13:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/distances-for-matching-mixed-scale-covariates/</loc>
		<lastmod>2026-10-30T19:13:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/distances-for-propensity-score-matching/</loc>
		<lastmod>2026-10-30T19:13:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/documenting-eligibility-and-cohort-construction/</loc>
		<lastmod>2026-10-30T19:13:02+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/double-robustness-is-not-protection-against-every-error/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/draft-lottery-designs/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/dual-certificates-for-bound-sharpness/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/e-values-after-covariate-adjustment/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/e-values-for-confidence-limits/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/e-values-for-hazard-ratios/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/e-values-for-matched-study-estimates/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/e-values-for-multiple-unmeasured-confounders/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/e-values-for-protective-associations/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/e-values-for-risk-ratio-estimates/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/e-values-under-effect-heterogeneity/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/effect-modification-and-aggregate-treatment-effects/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/effect-scales-and-population-summaries/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/effective-sample-size-under-high-dimensional-weights/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/efficient-influence-function-for-the-average-treatment-effect/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/empirical-distribution-and-kolmogorov-smirnov-diagnostics/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/emulating-a-trial-of-acute-treatment-initiation/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/emulating-a-trial-of-chronic-medication-strategies/</loc>
		<lastmod>2026-10-30T19:13:03+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/encoding-diagnosis-and-procedure-histories/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/end-to-end-aipw-and-tmle-analysis-of-a-study-dataset/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/end-to-end-partial-identification-analysis/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/energy-distance-for-multivariate-balance/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/ensembling-propensity-score-estimators/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/equal-set-and-size-weighted-effects/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/estimating-a-fuzzy-regression-discontinuity/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/estimating-aipw-standard-errors-from-influence-functions/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/estimating-and-interpreting-bivariate-probit-effects/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/estimating-propensity-scores-for-subclassification/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/estimating-treatment-associations-with-control-outcomes/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/estimating-treatment-effects-within-strata/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/estimating-weighted-potential-outcome-means/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/exact-matching-and-stratum-weighted-effects/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/exact-matching-on-key-covariates/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/exclusion-as-no-direct-effect-of-the-instrument/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/exclusion-in-encouragement-designs/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/explaining-covariate-selection-and-timing/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/external-benchmarks-as-moment-constraints/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/external-validity-of-cutoff-based-effects/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/extreme-scores-and-finite-sample-aipw-instability/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/falsification-tests-as-probes-of-residual-bias/</loc>
		<lastmod>2026-10-30T19:13:04+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/fieller-geometry-for-weak-iv-confidence-sets/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/finding-residual-imbalance-within-feature-blocks/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/finite-sample-and-superpopulation-estimands/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/finite-sample-corrections-for-2sls-variances/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/first-stage-diagnostics-in-fuzzy-regression-discontinuity/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/first-stage-plots-and-leverage-diagnostics/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/firth-logistic-estimation-under-separation/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/fixed-effects-2sls-in-panel-data/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/fixed-ratio-nearest-neighbor-matching/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/formal-conditions-for-negative-control-exposures/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/formal-conditions-for-negative-control-outcomes/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/forming-propensity-score-strata-by-quantiles/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/full-matching-and-its-implicit-target/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/full-matching-and-its-matched-sets/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/full-matching-for-a-comparative-effectiveness-study/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/full-matching-with-caliper-constraints/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/functional-forms-for-continuous-propensity-model-covariates/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/future-exposures-as-negative-controls/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/future-outcomes-as-negative-controls/</loc>
		<lastmod>2026-10-30T19:13:05+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/fuzzy-regression-discontinuity-as-an-instrumental-variables-design/</loc>
		<lastmod>2026-10-30T19:13:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/fuzzy-regression-discontinuity-identification/</loc>
		<lastmod>2026-10-30T19:13:06+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/fuzzy-regression-discontinuity-with-partial-compliance/</loc>
		<lastmod>2026-10-30T19:14:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/g-estimation-for-binary-structural-mean-models/</loc>
		<lastmod>2026-10-30T19:14:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/gamma-tipping-points-for-study-conclusions/</loc>
		<lastmod>2026-10-30T19:14:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/generalized-additive-models-for-propensity-scores/</loc>
		<lastmod>2026-10-30T19:14:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/generalized-residuals-for-nonlinear-first-stages/</loc>
		<lastmod>2026-10-30T19:14:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/geographic-regression-discontinuity-designs/</loc>
		<lastmod>2026-10-30T19:14:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/gradient-boosting-for-propensity-score-estimation/</loc>
		<lastmod>2026-10-30T19:14:10+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/high-dimensional-logistic-propensity-estimation/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/homoskedastic-2sls-standard-errors/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/horvitz-thompson-versus-h-jek-estimation/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/how-assumptions-tighten-causal-effect-bounds/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/how-e-values-change-with-effect-size/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/how-the-iv-assumptions-work-together/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/how-the-number-of-propensity-score-strata-affects-estimates/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/how-treatment-selection-confounds-observational-comparisons/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/how-trimming-changes-the-target-population/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/greedy-nearest-neighbor-matching/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/hac-standard-errors-for-2sls/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/hand-calculating-nearest-neighbor-matches/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/handling-repeated-eligibility-in-emulated-trials/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/handling-units-without-full-matching-partners/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/heaping-and-measurement-error-near-the-cutoff/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/heteroskedasticity-robust-2sls-inference/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/heteroskedasticity-robust-anderson-rubin-tests/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/heteroskedasticity-robust-first-stage-tests/</loc>
		<lastmod>2026-10-30T19:14:11+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/identification-in-bivariate-probit-models/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/identified-sets-and-partial-identification/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/identifying-the-population-after-matching-or-weighting/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/implementing-rosenbaum-bounds-in-statistical-software/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/implementing-the-two-stages-correctly/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/independence-of-the-instrument-and-potential-outcomes/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/individual-causal-effects-and-their-variation/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/inference-after-data-adaptive-nuisance-estimation/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/inference-when-a-bound-endpoint-is-on-a-boundary/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/inference-with-estimated-propensity-scores/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/institutional-timing-and-policy-changes/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/instrument-independence-in-observational-settings/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/instrumental-variables-for-a-count-outcome/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/integrated-sensitivity-analysis-for-an-observational-study/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/interactions-with-endogenous-regressors/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/interference-and-outcomes-that-depend-on-others-treatment/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/interpreting-2sls-coefficients-in-linear-models/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/interpreting-e-values-as-confounder-strength/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/interpreting-logistic-propensity-model-coefficients/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/interpreting-match-loss-under-caliper-restrictions/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/interpreting-nonnull-negative-control-results/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/interpreting-null-negative-control-results/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/interpreting-standardized-difference-thresholds/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/inverse-probability-weights-from-propensity-scores/</loc>
		<lastmod>2026-10-30T19:14:12+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/inverting-anderson-rubin-tests-for-confidence-sets/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/inverting-sensitivity-tests-for-effect-intervals/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/judge-assignment-as-a-natural-experiment/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/judge-leniency-as-an-instrument/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/kernel-weights-in-regression-discontinuity/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/known-versus-estimated-propensity-scores/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/late-compared-with-ate-and-att/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/late-under-heterogeneous-treatment-effects/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/linear-programming-for-sharp-causal-bounds/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/local-polynomial-estimation-near-a-cutoff/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/local-randomization-near-a-threshold/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/logistic-fluctuation-for-binary-outcome-tmle/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/logistic-structural-mean-models-for-binary-outcomes/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/lottery-based-natural-experiments/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/love-plots-for-covariate-balance/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/mahalanobis-distance-for-joint-covariate-balance/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/mahalanobis-distance-matching/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/making-matching-and-weighting-decisions-reproducible/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/many-instruments-and-first-stage-overfitting/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/mapping-trial-elements-to-observational-data/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/marginal-effects-and-counterfactual-risks-from-nonlinear-iv-models/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/matched-pair-effects-versus-population-effects/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/matched-pair-risk-differences-for-a-binary-outcome/</loc>
		<lastmod>2026-10-30T19:14:13+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/matching-for-the-average-treatment-effect-in-a-health-registry/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/matching-sets-of-treated-and-control-units/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/matching-weights-and-the-induced-population/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/matching-with-replacement-and-control-reuse/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/matching-with-replacement-in-a-sparse-comparison-group/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/matching-with-replacement/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/matching-without-replacement-and-treated-unit-targets/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/matching-without-replacement/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/measurement-error-shared-with-negative-controls/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/measuring-strength-with-multiple-instruments/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/model-extrapolation-in-unsupported-regions/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/monotone-treatment-response-bounds/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/monotone-treatment-selection-bounds/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/monotonicity-and-the-absence-of-defiers/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/multiple-endogenous-treatments-in-control-function-models/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/multiplicative-structural-mean-models-on-the-risk-ratio-scale/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/multiplicity-in-families-of-falsification-tests/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/multivariate-covariate-support-diagnostics/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/naming-the-estimand-after-matching/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/natural-experiments-and-quasi-random-assignment/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/nearest-neighbor-matching-within-calipers/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/negative-control-checks-in-a-propensity-matched-analysis/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/network-flow-formulation-of-full-matching/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/new-user-active-comparator-protocols/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/neyman-orthogonality-of-the-aipw-score/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/nonlinear-terms-and-interactions-in-high-dimensional-scores/</loc>
		<lastmod>2026-10-30T19:14:14+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/normalized-weights-and-the-h-jek-estimator/</loc>
		<lastmod>2026-10-30T19:14:15+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/numerical-maximum-likelihood-fitting-for-logistic-scores/</loc>
		<lastmod>2026-10-30T19:14:15+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/observed-outcomes-under-instrumental-variable-assumptions/</loc>
		<lastmod>2026-10-30T19:15:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/operationalizing-eligibility-criteria-in-causal-designs/</loc>
		<lastmod>2026-10-30T19:15:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/optimal-matching-with-calipers/</loc>
		<lastmod>2026-10-30T19:15:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/optimal-matching-with-variable-treatment-ratios/</loc>
		<lastmod>2026-10-30T19:15:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/order-dependence-in-greedy-matching/</loc>
		<lastmod>2026-10-30T19:15:26+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/organizing-robustness-analyses-without-selective-reporting/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/out-of-fold-propensity-score-prediction/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/outcome-contrasts-within-compliance-types/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/overfitting-and-extreme-fitted-propensity-scores/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/overlap-and-weight-instability-in-high-dimensional-scores/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/overlap-diagnostics-after-score-model-changes/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/overlap-in-high-dimensional-covariate-sets/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/overlap-weighting-in-a-population-with-poor-positivity/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/overlap-weights-and-the-ato-population/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/overlap-weights-for-binary-treatment/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/overlap-weights-under-logistic-propensity-models/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/overlap-weights-with-a-hand-calculated-dataset/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/pair-ratio-and-full-matching-structures/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/paired-outcome-analysis-after-matching-on-propensity-scores/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/partial-identification-bounds-with-unmeasured-confounding/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/partial-r-squared-for-instrument-strength/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/partialling-out-exogenous-covariates-in-2sls/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/penalized-logistic-regression-for-propensity-scores/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/pitfalls-of-outcome-guided-trimming/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/placebo-cutoffs-and-outcomes/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/placebo-treatments-as-falsification-tests/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/plotting-outcomes-around-a-cutoff/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/point-identification-versus-set-identification/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/policy-eligibility-as-an-instrument/</loc>
		<lastmod>2026-10-30T19:15:27+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/polynomial-terms-and-transformations-in-score-models/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/pooling-multiple-regression-discontinuity-cutoffs/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/positive-controls-for-assay-sensitivity/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/positivity-checks-within-important-subgroups/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/positivity-extreme-weights-and-information/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/positivity-within-covariate-strata/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/potential-outcomes-for-binary-instruments-and-treatments/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/potential-outcomes-for-two-treatment-states/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/power-and-equivalence-for-negative-control-tests/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/power-and-limitations-of-anderson-rubin-tests/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/predetermined-covariate-continuity-checks/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/predictor-substitution-and-residual-inclusion-compared/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/presenting-covariate-balance-diagnostics/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/prespecifying-baseline-information-requirements/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/prespecifying-the-analysis-strategy/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/prioritizing-proxies-with-the-hdps-algorithm/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/product-rate-conditions-for-valid-aipw-inference/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/prognostic-covariates-and-instrumental-features/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/propensity-score-estimation-for-augmented-estimators/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/propensity-score-matching-for-a-time-to-event-outcome/</loc>
		<lastmod>2026-10-30T19:15:28+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/propensity-score-matching-with-mahalanobis-refinement/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/propensity-score-subclassification-for-an-observational-cohort/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/protocol-sensitivity-analyses-for-ambiguous-definitions/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/protocols-for-dynamic-treatment-strategies/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/protocols-for-sustained-treatment-questions/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/providing-reproducible-reporting-materials/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/quantifying-overlap-with-density-measures/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/quantifying-uncertainty-in-balance-summaries/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/quantile-quantile-plots-for-covariate-balance/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/random-assignment-and-identification-of-mean-effects/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/random-forest-propensity-score-estimation/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/randomization-inference-for-local-regression-discontinuity/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/randomized-encouragement-with-incomplete-uptake/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/rare-features-and-separation-in-propensity-models/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/rare-treatment-assignment-in-logistic-score-models/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reading-chance-imbalance-in-a-randomized-trial/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reading-negative-controls-from-causal-graphs/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reading-propensity-score-overlap-plots/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/rechecking-covariate-balance-after-trimming/</loc>
		<lastmod>2026-10-30T19:15:29+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/registering-and-documenting-an-observational-protocol/</loc>
		<lastmod>2026-10-30T19:15:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/regression-adjustment-and-its-conditional-assumptions/</loc>
		<lastmod>2026-10-30T19:15:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/regression-discontinuity-with-a-discrete-running-variable/</loc>
		<lastmod>2026-10-30T19:15:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/regression-discontinuity-with-multiple-running-variables/</loc>
		<lastmod>2026-10-30T19:15:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/regression-kink-design/</loc>
		<lastmod>2026-10-30T19:15:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/relevance-as-a-change-in-treatment-receipt/</loc>
		<lastmod>2026-10-30T19:15:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reporting-2sls-estimates-and-inference/</loc>
		<lastmod>2026-10-30T19:15:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reporting-e-value-analyses/</loc>
		<lastmod>2026-10-30T19:15:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reporting-effect-estimates-and-their-scale/</loc>
		<lastmod>2026-10-30T19:15:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reporting-high-dimensional-propensity-analyses/</loc>
		<lastmod>2026-10-30T19:15:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reporting-identified-intervals-without-overclaiming/</loc>
		<lastmod>2026-10-30T19:15:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reporting-missing-data-and-data-processing/</loc>
		<lastmod>2026-10-30T19:15:30+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reporting-negative-control-and-falsification-analyses/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reporting-negative-controls-and-falsification-checks/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reporting-outcomes-and-follow-up-windows/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reporting-overlap-and-positivity-concerns/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reporting-positivity-and-trimming-decisions/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reporting-rosenbaum-sensitivity-analyses/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reporting-sensitivity-analyses-for-unmeasured-confounding/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reporting-study-design-setting-and-calendar-time/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reporting-subgroup-and-effect-modification-analyses/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reporting-the-target-population-of-a-matched-estimate/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reporting-weak-instrument-diagnostics/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reproducible-matching-and-tie-breaking-rules/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/residual-confounding-within-propensity-score-strata/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/residual-inclusion-for-count-outcomes/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/resolving-ties-in-nearest-neighbor-matching/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/restricted-cubic-splines-in-logistic-score-models/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/restricting-eligibility-changes-the-estimand/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/restricting-treated-control-ratios-in-full-matching/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/reviewing-a-protocol-for-selection-bias/</loc>
		<lastmod>2026-10-30T19:15:31+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/ridge-and-lasso-penalties-for-propensity-estimation/</loc>
		<lastmod>2026-10-30T19:15:32+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/risk-difference-estimates-and-e-values/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/risks-of-outcome-informed-feature-selection/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/robust-bias-corrected-regression-discontinuity-inference/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/rosenbaum-s-gamma-model-for-hidden-bias/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/rosenbaum-sensitivity-analysis-for-matched-study-results/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/sample-size-and-power-for-instrument-diagnostics/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/sampling-variability-in-estimated-support/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/scale-and-coding-invariance-in-2sls/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/scaling-and-normalizing-stabilized-weights/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/score-tests-for-weak-iv-robust-inference-in-causal-designs/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/selecting-the-number-of-covariates/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/selection-bias-and-collider-controls/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/sensitivity-curves-for-treatment-effect-bounds/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/sensitivity-of-the-target-to-caliper-width/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/sensitivity-of-the-target-to-matching-ratio/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/sensitivity-to-coding-granularity-and-lookback-windows/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/sensitivity-to-control-function-specification/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/sensitivity-to-the-chosen-instrument-set/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/separating-consistency-exchangeability-and-positivity/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/separation-in-logistic-propensity-models/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/shared-confounding-pathways-and-control-relevance/</loc>
		<lastmod>2026-10-30T19:15:58+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/sharp-regression-discontinuity-identification/</loc>
		<lastmod>2026-10-30T19:15:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/sharp-regression-discontinuity-worked-analysis/</loc>
		<lastmod>2026-10-30T19:15:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/simulating-hdps-under-sparse-confounding/</loc>
		<lastmod>2026-10-30T19:15:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/simulation-workshop-on-nuisance-model-misspecification/</loc>
		<lastmod>2026-10-30T19:15:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/solving-a-small-optimal-matching-problem/</loc>
		<lastmod>2026-10-30T19:15:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/sparse-categories-and-instability-in-score-estimation/</loc>
		<lastmod>2026-10-30T19:15:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/sparse-logistic-propensity-models-with-l1-penalties/</loc>
		<lastmod>2026-10-30T19:15:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/sparse-treatment-cells-in-categorical-covariates/</loc>
		<lastmod>2026-10-30T19:15:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/specifying-treatment-strategies-precisely/</loc>
		<lastmod>2026-10-30T19:15:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/stabilized-inverse-probability-weights/</loc>
		<lastmod>2026-10-30T19:15:59+00:00</lastmod>
	</url>
	<url>
		<loc>https://www.clinicalbiostats.com/tutorials/graduate-statistics-propensity-score-matching-and-instrumental-variables/standardized-differences-for-binary-and-categorical-covariates/</loc>
		<lastmod>2026-10-30T19:15:59+00:00</lastmod>
	</url>
</urlset>
<!-- XML Sitemap generated by Yoast SEO -->