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Analyzing Right-Censored Length-Biased Data with Additive Hazards Model
Zhao, Mu1; Lin, Cun-jie2,3; Zhou, Yong4,5
2017-10-01
发表期刊ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES
ISSN0168-9673
卷号33期号:4页码:893-908
摘要Length-biased data are often encountered in observational studies, when the survival times are left-truncated and right-censored and the truncation times follow a uniform distribution. In this article, we propose to analyze such data with the additive hazards model, which specifies that the hazard function is the sum of an arbitrary baseline hazard function and a regression function of covariates. We develop estimating equation approaches to estimate the regression parameters. The resultant estimators are shown to be consistent and asymptotically normal. Some simulation studies and a real data example are used to evaluate the finite sample properties of the proposed estimators.
关键词additive hazards model length-biased data dependent censoring estimating equation
DOI10.1007/s10255-017-0705-y
语种英语
资助项目MOE Project of Key Research Institute of Humanities and Social Sciences at Universities[16JJD910002] ; National Natural Science Foundation of China[71331006] ; National Natural Science Foundation of China[91546202] ; National Center for Mathematics and Interdisciplinary Sciences (NCMIS), Key Laboratory of RCSDS, AMSS, CAS[2008DP173182] ; Innovative Research Team of Shanghai University of Finance and Economics[IRTSHUFE13122402]
WOS研究方向Mathematics
WOS类目Mathematics, Applied
WOS记录号WOS:000418383600005
出版者SPRINGER HEIDELBERG
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/29227
专题应用数学研究所
通讯作者Lin, Cun-jie
作者单位1.Zhongnan Univ Econ & Law, Sch Math & Stat, Wuhan 430073, Peoples R China
2.Renmin Univ China, Ctr Appl Stat, Beijing 100872, Peoples R China
3.Renmin Univ China, Sch Stat, Beijing 100872, Peoples R China
4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
5.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai 200433, Peoples R China
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Zhao, Mu,Lin, Cun-jie,Zhou, Yong. Analyzing Right-Censored Length-Biased Data with Additive Hazards Model[J]. ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES,2017,33(4):893-908.
APA Zhao, Mu,Lin, Cun-jie,&Zhou, Yong.(2017).Analyzing Right-Censored Length-Biased Data with Additive Hazards Model.ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES,33(4),893-908.
MLA Zhao, Mu,et al."Analyzing Right-Censored Length-Biased Data with Additive Hazards Model".ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES 33.4(2017):893-908.
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