Analyzing Left-truncated and Right-censored Data under Cox Models with Long-term Survivors

被引：6
|
作者：
Zhang, Fei-peng [1 ]
Zhou, Yong [1 ,2 ]
机构：
[1] Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai 200433, Peoples R China
[2] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
来源：
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES | 2013年 / 29卷 / 02期
关键词：
semiparametric proportional hazards models; left-truncated and right-censored data; long-term survivors; HAZARDS CURE MODEL; PROPORTIONAL HAZARDS; MIXTURE-MODELS; REGRESSION-MODEL; TIME;
D O I：
10.1007/s10255-013-0215-5
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
We analyze left-truncated and right-censored data using Cox proportional hazard models with long-term survivors. The estimators of covariate coefficients and the long-term survivor proportion are obtained by the partial likelihood method, and their asymptotic properties are also established. Simulation studies demonstrate the performance of the proposed estimators, and an application to a real dataset is provided.
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页码：241 / 252
页数：12
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