KMS Of Academy of mathematics and systems sciences, CAS
Variable selection in joint frailty models of recurrent and terminal events | |
Han, Dongxiao1,2; Su, Xiaogang3; Sun, Liuquan4![]() | |
2020-03-03 | |
Source Publication | BIOMETRICS
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ISSN | 0006-341X |
Pages | 10 |
Abstract | 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. |
Keyword | frailty models informative censoring proportional hazards models recurrent event survival analysis variable selection |
DOI | 10.1111/biom.13242 |
Indexed By | SCI |
Language | 英语 |
Funding Project | 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 Research Area | Life Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology ; Mathematics |
WOS Subject | Biology ; Mathematical & Computational Biology ; Statistics & Probability |
WOS ID | WOS:000525737700001 |
Publisher | WILEY |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/51122 |
Collection | 应用数学研究所 |
Corresponding Author | Liu, Lei |
Affiliation | 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 |
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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