A Bayesian Method for Adverse Effects Estimation in Observational Studies with Truncation by Death
死亡截断下观察性研究不良事件效应的贝叶斯估计
Death among subjects is common in observational studies evaluating the causal effects of interventions among geriatric or severely ill patients. High mortality rates complicate the comparison of the prevalence of adverse events (AEs) between interventions. This problem is often referred to as outcome "truncation" by death. A possible solution is to estimate the survivor average causal effect (SACE), an estimand that evaluates the effects of interventions among those who…