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	Causal mediation analysis for survival outcome with unobserved mediator-outcome confounders
	Luo, Peng ; Geng, Zhi
	2016
关键词	Causal inference Direct and indirect effects Mediation analysis Survival analysis SENSITIVITY-ANALYSIS IDENTIFICATION
英文摘要	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. (C) 2014 Elsevier B.V. All rights reserved.; NSFC [11171365, 11021463, 11331011]; Center for Statistical Science, Peking University; SCI(E); EI; ARTICLE; luopengpeng001@gmail.com; zhigeng@pku.edu.cn; ,SI; 336-347; 93
语种	中文
出处	EI ; SCI
出版者	COMPUTATIONAL STATISTICS & DATA ANALYSIS
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/422696]
专题	数学科学学院
推荐引用方式 GB/T 7714	Luo, Peng,Geng, Zhi. Causal mediation analysis for survival outcome with unobserved mediator-outcome confounders. 2016-01-01.

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