期刊
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
卷 117, 期 537, 页码 175-183出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/01621459.2020.1765783
关键词
Competing risks; Direct and indirect effects; Failure time analysis; Lifetime and survival analysis; Separable effects
资金
- NIH [R37 AI102634]
- ASISA Fellowship
- Research Council of Norway [NFR239956/F20]
The presence of competing events complicates the definition of causal effects in time-to-event settings. This study proposes separable effects to examine the causal effect of a treatment on an event of interest. The separable direct effect is the treatment effect on the event of interest not mediated by its effect on the competing event. The separable indirect effect is the treatment effect on the event of interest only through its effect on the competing event. The assumption that the treatment can be decomposed into two distinct components is necessary for identifying the separable effects.
In time-to-event settings, the presence of competing events complicates the definition of causal effects. Here we propose the new separable effects to study the causal effect of a treatment on an event of interest. The separable direct effect is the treatment effect on the event of interest not mediated by its effect on the competing event. The separable indirect effect is the treatment effect on the event of interest only through its effect on the competing event. Similar to Robins and Richardson's extended graphical approach for mediation analysis, the separable effects can only be identified under the assumption that the treatment can be decomposed into two distinct components that exert their effects through distinct causal pathways. Unlike existing definitions of causal effects in the presence of competing events, our estimands do not require cross-world contrasts or hypothetical interventions to prevent death. As an illustration, we apply our approach to a randomized clinical trial on estrogen therapy in individuals with prostate cancer. Supplementary materials for this article are available online.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据