Open AccessMediation analysis for survival data with high-dimensional mediators
Author(s) -
Haixiang Zhang,
Yinan Zheng,
Lifang Hou,
Cheng Zheng,
Lei Liu
Publication year - 2021
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab564
Subject(s) - mediation , computer science , data science , psychology , political science , law
Mediation analysis has become a prevalent method to identify causal pathway(s) between an independent variable and a dependent variable through intermediate variable(s). However, little work has been done when the intermediate variables (mediators) are high-dimensional and the outcome is a survival endpoint. In this paper, we introduce a novel method to identify potential mediators in a causal framework of high-dimensional Cox regression.