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Joint modeling of generalized scale-change models for recurrent event and failure time data
Wang, Xiaoyu; Sun, Liuquan
2022-09-06
发表期刊LIFETIME DATA ANALYSIS
ISSN1380-7870
页码33
摘要Recurrent event and failure time data arise frequently in many clinical and observational studies. In this article, we propose a joint modeling of generalized scale-change models for the recurrent event process and the failure time, and allow the two processes to be correlated through a shared frailty. The proposed joint model is flexible in that it requires neither the Poisson assumption for the recurrent event process nor a parametric assumption on the frailty distribution. Estimating equation approaches are developed for parameter estimation, and the asymptotic properties of the resulting estimators are established. Simulation studies are conducted to evaluate the finite sample performances of the proposed method. An application to a medical cost study of chronic heart failure patients is provided.
关键词Failure time Frailty Generalized scale-change models Informative censoring Joint modeling Recurrent events
DOI10.1007/s10985-022-09573-5
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[12171463]
WOS研究方向Mathematics
WOS类目Mathematics, Interdisciplinary Applications ; Statistics & Probability
WOS记录号WOS:000850416300002
出版者SPRINGER
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/61041
专题博士后
应用数学研究所
通讯作者Sun, Liuquan
作者单位Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China
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Wang, Xiaoyu,Sun, Liuquan. Joint modeling of generalized scale-change models for recurrent event and failure time data[J]. LIFETIME DATA ANALYSIS,2022:33.
APA Wang, Xiaoyu,&Sun, Liuquan.(2022).Joint modeling of generalized scale-change models for recurrent event and failure time data.LIFETIME DATA ANALYSIS,33.
MLA Wang, Xiaoyu,et al."Joint modeling of generalized scale-change models for recurrent event and failure time data".LIFETIME DATA ANALYSIS (2022):33.
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