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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
2020-03-03
发表期刊BIOMETRICS
ISSN0006-341X
页码10
摘要Recurrent 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.
关键词frailty models informative censoring proportional hazards models recurrent event survival analysis variable selection
DOI10.1111/biom.13242
收录类别SCI
语种英语
资助项目National 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研究方向Life Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology ; Mathematics
WOS类目Biology ; Mathematical & Computational Biology ; Statistics & Probability
WOS记录号WOS:000525737700001
出版者WILEY
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/51122
专题应用数学研究所
通讯作者Liu, Lei
作者单位1.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
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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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