Principal stratification with continuous post-treatment variables: nonparametric identification and semiparametric estimation
连续处理后变量的主层分析：非参数识别与半参数估计
Abstract Post-treatment variables often complicate causal inference. They appear in many scientific problems, including non-compliance, truncation by death, mediation, and surrogate endpoint evaluation. Principal stratification is a strategy to address these challenges by adjusting for the potential values of the post-treatment variables, defined as the principal strata. It allows for characterizing treatment effect heterogeneity across principal strata and unveiling the…