Topic: The Balancing Property and Estimation

Conditional Treatment Probability as the Propensity Score

Conditional Independence After Conditioning on the Score

Coding Categorical Covariates in Propensity Models

Classification Trees for Propensity Score Estimation

Choosing Covariates for a Propensity Model

Bayesian Additive Regression Trees for Propensity Scores

Calibration of Estimated Propensity Scores

Balancing Scores and Conditional Covariate Distributions

Balancing Under One-to-One Score Transformations

A Practical Workflow for Estimating Propensity Scores