A generalized bootstrap procedure of the standard error and confidence interval estimation for inverse probability of treatment weighting
逆概率处理加权标准误与置信区间估计的广义自助法
The inverse probability of treatment weighting (IPTW) approach is commonly used in propensity score analysis to infer causal effects in regression models. Due to oversized IPTW weights and errors associated with propensity score estimation, the IPTW approach can underestimate the standard error of causal effect. To remediate this, bootstrap standard errors have been recommended to replace the IPTW standard error, but the ordinary bootstrap (OB) procedure might still result…