Causal mediation analysis for survival outcome with unobserved mediator–outcome confounders

Peng Luo and Zhi Geng

Computational Statistics & Data Analysis, 2016, vol. 93, issue C, 336-347

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.

Keywords: Causal inference; Direct and indirect effects; Mediation analysis; Survival analysis (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:93:y:2016:i:c:p:336-347

DOI: 10.1016/j.csda.2014.11.016

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