This channel shows tutorials on how to perform propensity score analysis using the R Statistical Software, including propensity score matching, weighting and stratification. All aspects of propensity score analysis for quasi-experimental research are demonstrated, including estimation of propensity scores, overlap check, covariate balance evaluation, treatment effect estimation, and sensitivity analysis.