Semiparametric inference of treatment effects on restricted mean survival time in two sample problems from length-biased samples

被引：1
|
作者：
Yang, Xiaoran [1 ]
Du, Junjie [1 ]
Bai, Fangfang [1 ]
机构：
[1] Univ Int Business & Econ, Sch Stat, Beijing 100029, Peoples R China
来源：
STATISTICS & PROBABILITY LETTERS | 2023年 / 193卷
关键词：
Length-biased data; Restricted mean survival time; Semiparametric inference; Treatment effect; Two sample problem;
D O I：
10.1016/j.spl.2022.109715
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：
Estimating treatment effects on restricted mean survival time(RMST) is often of direct interest in clinical studies. We propose two approaches based on estimating equation to estimate treatment effects on RMST under the setting of length-biased sampling. The asymptotic properties for the proposed estimators are derived. Simulation studies are performed to evaluate the performance of the methods in finite sample sizes. In addition, we apply our procedures to Oscar Award data. (c) 2022 Elsevier B.V. All rights reserved.
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