Inference for the treatment effects in two sample problems with right-censored and length-biased data

被引：9
|
作者：
Lin, Cunjie [1 ]
Zhou, Yong [1 ,2 ]
机构：
[1] Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
[2] Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China
来源：
STATISTICS & PROBABILITY LETTERS | 2014年 / 90卷
关键词：
Estimating equation; Length bias; Semiparametric model; Treatment effect; NONPARAMETRIC-ESTIMATION; PREVALENT COHORT; SURVIVAL; OSCAR; MODEL; CURVES; HEALTH;
D O I：
10.1016/j.spl.2014.03.009
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
In the study of comparing treatment effects, the data structures of two samples may be different. In this paper, we develop a unified semiparametric estimating equation approach to estimate various types of treatment effects with right-censored and length-biased data based on a semiparametric two-sample model. The large sample properties of the proposed estimators are derived and numerical studies are conducted to illustrate the proposed methods. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码：17 / 24
页数：8
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