Estimating Cumulative Treatment Effect Under an Additive Hazards Model

被引：0
|
作者：
Lu Xiaoliang [1 ]
Zhang Baoxue [1 ]
Sun Liuquan [2 ]
机构：
[1] Capital Univ Econ & Business, Sch Stat, Beijing 100070, Peoples R China
[2] Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China
来源：
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY | 2021年 / 34卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Additive hazards model; cumulative hazards; survival data; time-dependent effect;
D O I：
10.1007/s11424-020-0067-z
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In clinical and epidemiologic studies of time to event, the treatment effect is often of direct interest, and the treatment effect is not constant over time. In this paper, the authors propose an estimator for the cumulative hazard difference under a stratified additive hazards model. The asymptotic properties of the resulting estimator are established, and the finite-sample properties are examined through simulation studies. An application to a liver cirrhosis data set from the Copenhagen Study Group for Liver Diseases is provided.
引用
收藏
页码：724 / 734
页数：11
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