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An additive subdistribution hazard model for competing risks data

文献类型：期刊论文

作者Li, Wanxing1; Xue, Xiaoming2; Long, Yonghong1
刊名COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
出版日期2017
卷号46期号:23页码:11667-11687
关键词Additive hazard model Competing risks Cumulative incidence function Estimating equation Inverse probability of censoring weight Proportional hazard model 62N01 62N02 62F12
ISSN号0361-0926
DOI10.1080/03610926.2016.1277759
英文摘要The cumulative incidence function plays an important role in assessing its treatment and covariate effects with competing risks data. In this article, we consider an additive hazard model allowing the time-varying covariate effects for the subdistribution and propose the weighted estimating equation under the covariate-dependent censoring by fitting the Cox-type hazard model for the censoring distribution. When there exists some association between the censoring time and the covariates, the proposed coefficients' estimations are unbiased and the large-sample properties are established. The finite-sample properties of the proposed estimators are examined in the simulation study. The proposed Cox-weighted method is applied to a competing risks dataset from a Hodgkin's disease study.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000415942200017
出版者TAYLOR & FRANCIS INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/29156]  
专题中国科学院数学与系统科学研究院
通讯作者Long, Yonghong
作者单位1.Renmin Univ China, Sch Informat, Dept Math, Beijing 100872, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Li, Wanxing,Xue, Xiaoming,Long, Yonghong. An additive subdistribution hazard model for competing risks data[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,2017,46(23):11667-11687.
APA Li, Wanxing,Xue, Xiaoming,&Long, Yonghong.(2017).An additive subdistribution hazard model for competing risks data.COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,46(23),11667-11687.
MLA Li, Wanxing,et al."An additive subdistribution hazard model for competing risks data".COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 46.23(2017):11667-11687.

入库方式： OAI收割

来源：数学与系统科学研究院

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