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A class of transformation rate models for recurrent event data
Zhang Hu1; Yang QingLong1; Qu LianQiang2
2016-11-01
发表期刊SCIENCE CHINA-MATHEMATICS
ISSN1674-7283
卷号59期号:11页码:2227-2244
摘要Recurrent event data frequently occur in longitudinal studies, and it is often of interest to estimate the effects of covariates on the recurrent event rate. This paper considers a class of semiparametric transformation rate models for recurrent event data, which uses an additive Aalen model as its covariate dependent baseline. The new models are flexible in that they allow for both additive and multiplicative covariate effects, and some covariate effects are allowed to be nonparametric and time-varying. An estimating procedure is proposed for parameter estimation, and the resulting estimators are shown to be consistent and asymptotically normal. Simulation studies and a real data analysis demonstrate that the proposed method performs well and is appropriate for practical use.
关键词Aalen model estimating equations recurrent event data time-varying coefficients transformation rate models
DOI10.1007/s11425-015-0816-x
语种英语
资助项目National Natural Science Foundation of China[11301545] ; National Natural Science Foundation of China[11501578] ; National Natural Science Foundation of China[11501579]
WOS研究方向Mathematics
WOS类目Mathematics, Applied ; Mathematics
WOS记录号WOS:000386577700008
出版者SCIENCE PRESS
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/23921
专题中国科学院数学与系统科学研究院
通讯作者Yang QingLong
作者单位1.Zhongnan Univ Econ & Law, Sch Math & Stat, Wuhan 430073, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China
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Zhang Hu,Yang QingLong,Qu LianQiang. A class of transformation rate models for recurrent event data[J]. SCIENCE CHINA-MATHEMATICS,2016,59(11):2227-2244.
APA Zhang Hu,Yang QingLong,&Qu LianQiang.(2016).A class of transformation rate models for recurrent event data.SCIENCE CHINA-MATHEMATICS,59(11),2227-2244.
MLA Zhang Hu,et al."A class of transformation rate models for recurrent event data".SCIENCE CHINA-MATHEMATICS 59.11(2016):2227-2244.
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