A joint modeling approach for analyzing marker data in the presence of a terminal event

doi:10.1111/biom.13260

CSpace > 应用数学研究所

	A joint modeling approach for analyzing marker data in the presence of a terminal event
	Zhou, Jie 1; Chen, Xin 2; Song, Xinyuan 3; Sun, Liuquan4,5
	2020-03-28
发表期刊	BIOMETRICS
ISSN	0006-341X
页码	12
摘要	In many medical studies, markers are contingent on recurrent events and the cumulative markers are usually of interest. However, the recurrent event process is often interrupted by a dependent terminal event, such as death. In this article, we propose a joint modeling approach for analyzing marker data with informative recurrent and terminal events. This approach introduces a shared frailty to specify the explicit dependence structure among the markers, the recurrent, and terminal events. Estimation procedures are developed for the model parameters and the degree of dependence, and a prediction of the covariate-specific cumulative markers is provided. The finite sample performance of the proposed estimators is examined through simulation studies. An application to a medical cost study of chronic heart failure patients from the University of Virginia Health System is illustrated.
关键词	joint modeling longitudinal data analysis marker process medical costs recurrent events terminal event
DOI	10.1111/biom.13260
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[11671275] ; National Natural Science Foundation of China[11671274] ; National Natural Science Foundation of China[11471223] ; National Natural Science Foundation of China[11471277] ; National Natural Science Foundation of China[11771431] ; National Natural Science Foundation of China[11690015] ; National Natural Science Foundation of China[11926341] ; National Natural Science Foundation of China[2008DP173182] ; Key Laboratory of RCSDS, CAS[2008DP173182] ; Research Grants Council of the Hong Kong Special Administrative Region[14303017] ; Research Grants Council of the Hong Kong Special Administrative Region[14301918] ; Academy for Multidisciplinary Studies of Capital Normal University
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:000521843500001
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/51011
专题	应用数学研究所
通讯作者	Sun, Liuquan
作者单位	1.Capital Normal Univ, Sch Math, Beijing, Peoples R China 2.Shanghai Lixin Univ Accounting & Finance, Sch Math & Stat, Shanghai, Peoples R China 3.Chinese Univ Hong Kong, Dept Stat, Hong Kong, Peoples R China 4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 5.Guangzhou Univ, Sch Econ & Stat, Guangzhou, Peoples R China
推荐引用方式 GB/T 7714	Zhou, Jie,Chen, Xin,Song, Xinyuan,et al. A joint modeling approach for analyzing marker data in the presence of a terminal event[J]. BIOMETRICS,2020:12.
APA	Zhou, Jie,Chen, Xin,Song, Xinyuan,&Sun, Liuquan.(2020).A joint modeling approach for analyzing marker data in the presence of a terminal event.BIOMETRICS,12.
MLA	Zhou, Jie,et al."A joint modeling approach for analyzing marker data in the presence of a terminal event".BIOMETRICS (2020):12.