scholarly journals Model checking for additive hazards model with multivariate survival data

2007 ◽  
Vol 98 (5) ◽  
pp. 1018-1032 ◽  
Author(s):  
Guosheng Yin
2021 ◽  
Vol 12 ◽  
Author(s):  
Yidan Cui ◽  
Chengwen Luo ◽  
Linghao Luo ◽  
Zhangsheng Yu

Mediation analysis has been extensively used to identify potential pathways between exposure and outcome. However, the analytical methods of high-dimensional mediation analysis for survival data are still yet to be promoted, especially for non-Cox model approaches. We propose a procedure including “two-step” variable selection and indirect effect estimation for the additive hazards model with high-dimensional mediators. We first apply sure independence screening and smoothly clipped absolute deviation regularization to select mediators. Then we use the Sobel test and the BH method for indirect effect hypothesis testing. Simulation results demonstrate its good performance with a higher true-positive rate and accuracy, as well as a lower false-positive rate. We apply the proposed procedure to analyze DNA methylation markers mediating smoking and survival time of lung cancer patients in a TCGA (The Cancer Genome Atlas) cohort study. The real data application identifies four mediate CpGs, three of which are newly found.


Author(s):  
Torben Martinussen ◽  
Stijn Vansteelandt ◽  
Mette Gerster ◽  
Jacob von Bornemann Hjelmborg

2020 ◽  
Vol 40 (2) ◽  
pp. 441-450
Author(s):  
Lulu Zuo ◽  
Haixiang Zhang ◽  
HaiYing Wang ◽  
Lei Liu

2015 ◽  
Vol 110 (511) ◽  
pp. 1148-1159 ◽  
Author(s):  
Deng Pan ◽  
Haijin He ◽  
Xinyuan Song ◽  
Liuquan Sun

2014 ◽  
Vol 21 (2) ◽  
pp. 241-258 ◽  
Author(s):  
Shishun Zhao ◽  
Tao Hu ◽  
Ling Ma ◽  
Peijie Wang ◽  
Jianguo Sun

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