Exact and Conservative Inference for the Average Treatment Effect in Stratified Experiments with Binary Outcomes
二元结果分层实验中平均处理效应的精确与保守推断
We extend methods for finite-sample inference about the average treatment effect (ATE) in randomized experiments with binary outcomes to accommodate stratification (blocking). We present three valid methods that differ in their computational and statistical efficiency. The first method constructs conservative, Bonferroni-adjusted confidence intervals separately for the mean response in the treatment and control groups in each stratum, then takes appropriate weighted…