Dynamic semiparametric transformation models for recurrent event data with a terminal event

doi:10.1002/sim.9577

	Dynamic semiparametric transformation models for recurrent event data with a terminal event
	Jin, Jin 1; Song, Xinyuan 2; Sun, Liuquan 3,4
刊名	STATISTICS IN MEDICINE
	2022-09-19
页码	16
关键词	dynamic regression marginal modeling recurrent events terminal event time-varying coefficients transformation models
ISSN号	0277-6715
DOI	10.1002/sim.9577
英文摘要	Recurrent event data with a terminal event commonly arise in many longitudinal follow-up studies. This article proposes a class of dynamic semiparametric transformation models for the marginal mean functions of the recurrent events with a terminal event, where some covariate effects may be time-varying. An estimation procedure is developed for the model parameters, and the asymptotic properties of the resulting estimators are established. In addition, relevant significance tests are suggested for examining whether or not covariate effects vary with time, and a model checking procedure is presented for assessing the adequacy of the proposed models. The finite sample performance of the proposed estimators is examined through simulation studies, and an application to a medical cost study of chronic heart failure patients is provided.
资助项目	National Natural Science Foundation of China[12171463] ; National Natural Science Foundation of China[11771431] ; National Natural Science Foundation of China[11690015] ; Research Grant Council of the Hong Kong Special Administrative Region[14302220]
WOS研究方向	Mathematical & Computational Biology ; Public, Environmental & Occupational Health ; Medical Informatics ; Research & Experimental Medicine ; Mathematics
语种	英语
出版者	WILEY
WOS记录号	WOS:000857871700001
内容类型	期刊论文
源URL	[http://ir.amss.ac.cn/handle/2S8OKBNM/61007]
专题	中国科学院数学与系统科学研究院
通讯作者	Sun, Liuquan
作者单位	1.Univ Sci & Technol Beijing, Sch Math & Phys, Beijing, Peoples R China 2.Chinese Univ Hong Kong, Dept Stat, Hong Kong, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing, Peoples R China 4.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Jin, Jin,Song, Xinyuan,Sun, Liuquan. Dynamic semiparametric transformation models for recurrent event data with a terminal event[J]. STATISTICS IN MEDICINE,2022:16.
APA	Jin, Jin,Song, Xinyuan,&Sun, Liuquan.(2022).Dynamic semiparametric transformation models for recurrent event data with a terminal event.STATISTICS IN MEDICINE,16.
MLA	Jin, Jin,et al."Dynamic semiparametric transformation models for recurrent event data with a terminal event".STATISTICS IN MEDICINE (2022):16.