Variable selection in joint frailty models of recurrent and terminal events
文献类型:期刊论文
作者 | Han, Dongxiao4,6; Su, Xiaogang5; Sun, Liuquan1![]() |
刊名 | BIOMETRICS
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出版日期 | 2020-03-03 |
页码 | 10 |
关键词 | frailty models informative censoring proportional hazards models recurrent event survival analysis variable selection |
ISSN号 | 0006-341X |
DOI | 10.1111/biom.13242 |
英文摘要 | 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. |
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 |
语种 | 英语 |
WOS记录号 | WOS:000525737700001 |
出版者 | WILEY |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/51121] ![]() |
专题 | 应用数学研究所 |
通讯作者 | Liu, Lei |
作者单位 | 1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China 2.Northwestern Univ, Feinberg Sch Med, Dept Prevent Med, Chicago, IL 60611 USA 3.Washington Univ, Div Biostat, St Louis, MO 63110 USA 4.Nankai Univ, Key Lab Pure Math & Combinator, Tianjin, Peoples R China 5.Univ Texas El Paso, Dept Math Sci, El Paso, TX 79968 USA 6.Nankai Univ, Sch Stat & Data Sci, Tianjin, Peoples R China |
推荐引用方式 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. |
入库方式: OAI收割
来源:数学与系统科学研究院
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