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Variable selection in joint frailty models of recurrent and terminal events
Han, Dongxiao1,2; Su, Xiaogang3; Sun, Liuquan4; Zhang, Zhou5; Liu, Lei6
Source PublicationBIOMETRICS
AbstractRecurrent event data are commonly encountered in biomedical studies. In many situations, they are subject to an informative terminal event, for example, death. Joint modeling of recurrent and terminal events has attracted substantial recent research interests. On the other hand, there may exist a large number of covariates in such data. How to conduct variable selection for joint frailty proportional hazards models has become a challenge in practical data analysis. We tackle this issue on the basis of the "minimum approximated information criterion" method. The proposed method can be conveniently implemented in SAS Proc NLMIXED for commonly used frailty distributions. Its finite-sample behavior is evaluated through simulation studies. We apply the proposed method to model recurrent opportunistic diseases in the presence of death in an AIDS study.
Keywordfrailty models informative censoring proportional hazards models recurrent event survival analysis variable selection
Indexed BySCI
Funding ProjectNational Natural Science Foundation of China[11690015] ; National Natural Science Foundation of China[11771431] ; Key Laboratory of RCSDS, CAS[2008DP173182] ; National Heart, Lung, and Blood Institute[R01 HL13694] ; National Center for Advancing Translational Sciences[UL1TR002345]
WOS Research AreaLife Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology ; Mathematics
WOS SubjectBiology ; Mathematical & Computational Biology ; Statistics & Probability
WOS IDWOS:000525737700001
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Document Type期刊论文
Corresponding AuthorLiu, Lei
Affiliation1.Nankai Univ, Sch Stat & Data Sci, Tianjin, Peoples R China
2.Nankai Univ, Key Lab Pure Math & Combinator, Tianjin, Peoples R China
3.Univ Texas El Paso, Dept Math Sci, El Paso, TX 79968 USA
4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
5.Northwestern Univ, Feinberg Sch Med, Dept Prevent Med, Chicago, IL 60611 USA
6.Washington Univ, Div Biostat, St Louis, MO 63110 USA
Recommended Citation
GB/T 7714
Han, Dongxiao,Su, Xiaogang,Sun, Liuquan,et al. Variable selection in joint frailty models of recurrent and terminal events[J]. BIOMETRICS,2020:10.
APA Han, Dongxiao,Su, Xiaogang,Sun, Liuquan,Zhang, Zhou,&Liu, Lei.(2020).Variable selection in joint frailty models of recurrent and terminal events.BIOMETRICS,10.
MLA Han, Dongxiao,et al."Variable selection in joint frailty models of recurrent and terminal events".BIOMETRICS (2020):10.
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