Novel g-computation algorithms for time-varying actions with recurrent and semi-competing events
时变行动下处理复发事件与半竞争事件的新型 g 计算算法
Background: A core aspect of epidemiology is determining the impacts of potential public health interventions over time. With long follow-up periods, epidemiologists may need to consider semi-competing events, in which a terminal event, like death, precludes a non-terminal event, like hypertension. Time-varying confounding poses an additional challenge when studying time-varying interventions or actions. Existing methods do not simultaneously address semi- competing events…