A class of transformed hazards models for recurrent gap times

被引：8
|
作者：
Kang, Fangyuan [1 ]
Sun, Liuquan [1 ]
Zhao, Xingqiu [2 ]
机构：
[1] Chinese Acad Sci, Inst Appl Math, Beijing 100190, Peoples R China
[2] Hong Kong Polytech Univ, Shenzhen Res Inst, Dept Appl Math, Hong Kong, Hong Kong, Peoples R China
来源：
COMPUTATIONAL STATISTICS & DATA ANALYSIS | 2015年 / 83卷
基金：
中国国家自然科学基金;
关键词：
Estimating equations; Gap times; Model checking; Recurrent events; Transformed hazards model; NONPARAMETRIC-ESTIMATION; EFFICIENT ESTIMATION; MARGINAL REGRESSION; SURVIVAL;
D O I：
10.1016/j.csda.2014.10.005
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this article, a class of transformed hazards models is proposed for recurrent gap time data, including both the proportional and additive hazards models as special cases. An estimating equation-based inference procedure is developed for the model parameters, and the asymptotic properties of the resulting estimators are established. In addition, a lack-of-fit test is presented to assess the adequacy of the model. The finite sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a clinic study on chronic granulomatous disease (CGD) is illustrated. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码：151 / 167
页数：17
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