A Bayesian Nonparametric Approach for Semi-Competing Risks with Application to Cardiovascular Health
半竞争风险的贝叶斯非参数方法及心血管健康应用
We address causal estimation in semi-competing risks settings, where a non-terminal event may be precluded by one or more terminal events. We define a principal-stratification causal estimand for treatment effects on the non-terminal event, conditional on surviving past a specified landmark time. To estimate joint event-time distributions, we employ both vine-copula constructions and Bayesian nonparametric Enriched Dirichlet-process mixtures (EDPM), enabling inference under…