Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
415333 | Computational Statistics & Data Analysis | 2016 | 12 Pages |
Abstract
The indirect effect of the treatment on the survival outcome through the mediate variable and the direct effect of the treatment on the survival outcome are described. The relationships between the direct and indirect effects and the parameters of three models for survival analysis are provided. The conditions for identifying the direct and indirect effects of the treatment on the survival outcome with an unobserved mediator–outcome confounder vector are presented. Further the identifiability is illustrated via a simulation study. Finally, the proposed approaches are applied to a real data set to illustrate the methodology.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Peng Luo, Zhi Geng,