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An additive subdistribution hazard model for competing risks data
Li, Wanxing1; Xue, Xiaoming2; Long, Yonghong1
2017
发表期刊COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
ISSN0361-0926
卷号46期号:23页码:11667-11687
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.
关键词Additive hazard model Competing risks Cumulative incidence function Estimating equation Inverse probability of censoring weight Proportional hazard model 62N01 62N02 62F12
DOI10.1080/03610926.2016.1277759
语种英语
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000415942200017
出版者TAYLOR & FRANCIS INC
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/29157
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
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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.
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