Nonparametric and semiparametric regression estimation for length-biased survival data

被引：0
|
作者：
Yu Shen
Jing Ning
Jing Qin
机构：
[1] The University of Texas MD Anderson Cancer Center,Department of Biostatistics
[2] National Institute of Health,Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases
来源：
Lifetime Data Analysis | 2017年 / 23卷
关键词：
Length-biased sampling; Estimating equation; Left truncation; Likelihood; Nonparametric estimator; Semiparametric models;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
For the past several decades, nonparametric and semiparametric modeling for conventional right-censored survival data has been investigated intensively under a noninformative censoring mechanism. However, these methods may not be applicable for analyzing right-censored survival data that arise from prevalent cohorts when the failure times are subject to length-biased sampling. This review article is intended to provide a summary of some newly developed methods as well as established methods for analyzing length-biased data.
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页码：3 / 24
页数：21
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