Topic: Time-Varying and High-Dimensional Confounding

Worked Claims-Based HDPS Analysis

Worked Electronic Health Record HDPS Analysis

Treatment Prediction Versus Confounder Control

Tuning Lasso Propensity Scores for Causal Balance

Simulating HDPS Under Sparse Confounding

Sparse Logistic Propensity Models With L1 Penalties

Risks of Outcome-Informed Feature Selection

Selecting the Number of Covariates

Sensitivity to Coding Granularity and Lookback Windows

Reporting High-Dimensional Propensity Analyses