About
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.
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.