Propensity Score Weighting for Causal Inference with Observational Studies and Randomized Trials
Point estimates of PSweight
Fitting potential outcome regression with different methods
Plot the distribution of propensity scores and balance statistics
Print the results of PStrim
Print the results of PSweight
Print the results of Summary.PSweight
Print the results of SumStat
Print the results of Summary.SumStat
Fitting propensity score models with different methods
Trim the input data and propensity estimate
Estimate average causal effects by propensity score weighting
Estimate average causal effects by propensity score weighting for a bi...
Summarize a PSweight object
Summarize a SumStat object.
Calculate summary statistics for propensity score weighting
Calculate summary statistics for propensity score weighting with clust...
Variance of PSweight
Supports propensity score weighting analysis of observational studies and randomized trials. Enables the estimation and inference of average causal effects with binary and multiple treatments using overlap weights (ATO), inverse probability of treatment weights (ATE), average treatment effect among the treated weights (ATT), matching weights (ATM) and entropy weights (ATEN), with and without propensity score trimming. These weights are members of the family of balancing weights introduced in Li, Morgan and Zaslavsky (2018) <doi:10.1080/01621459.2016.1260466> and Li and Li (2019) <doi:10.1214/19-AOAS1282>.