General Bayesian inference for causal effects using covariate balancing
procedure
General Bayesian inference for causal effects using covariate balancing
procedure
In observational studies, the propensity score plays a central role in estimating causal effects of interest. The inverse probability weighting (IPW) estimator is especially commonly used. However, if the propensity score model is misspecified, the IPW estimator may produce biased estimates of causal effects. Previous studies have proposed some robust …