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

doi:10.1111/biom.13260

CORC > 数学与系统科学研究院 > 中国科学院数学与系统科学研究院 > 应用数学研究所

	A joint modeling approach for analyzing marker data in the presence of a terminal event
	Zhou, Jie 4; Chen, Xin 1; Song, Xinyuan 5; Sun, Liuquan 2,3
刊名	BIOMETRICS
	2020-03-28
页码	12
关键词	joint modeling longitudinal data analysis marker process medical costs recurrent events terminal event
ISSN号	0006-341X
DOI	10.1111/biom.13260
英文摘要	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.
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
语种	英语
出版者	WILEY
WOS记录号	WOS:000521843500001
内容类型	期刊论文
源URL	[http://ir.amss.ac.cn/handle/2S8OKBNM/51010]
专题	应用数学研究所
通讯作者	Sun, Liuquan
作者单位	1.Shanghai Lixin Univ Accounting & Finance, Sch Math & Stat, Shanghai, Peoples R China 2.Guangzhou Univ, Sch Econ & Stat, Guangzhou, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 4.Capital Normal Univ, Sch Math, Beijing, Peoples R China 5.Chinese Univ Hong Kong, Dept Stat, Hong Kong, 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.