Simultaneous Inference for False Discovery Proportions under Sensitivity Models for Observational Studies
观察研究敏感性模型下错误发现比例的同时推断
We provide an approach to exploratory data analysis in observational studies with a single intervention and multiple endpoints. In such settings, the researcher would like to explore evidence for actual treatment effects while accounting for both false discoveries and the potential impact of unmeasured confounding. For any candidate subset of hypotheses about these outcomes, we provide sensitivity sets for the proportion of the hypotheses within the subset which are true.…