Estimating the average treatment effect in cluster-randomized trials with misclassified outcomes and non-random validation subsets
结局误分类与非随机验证子集下整群随机试验的平均处理效应估计
Randomized trials are viewed as the benchmark for assessing causal effects of treatments on outcomes of interest. Nonetheless, challenges such as measurement error can undermine the standard causal assumptions for randomized trials. In ASPIRE, a cluster-randomized trial, pediatric primary care clinics were assigned to one of two treatments aimed at promoting clinician delivery of a secure firearm program to parents during well-child visits. A key outcome of interest is thus…