Nonparametric and semiparametric regression estimation for length-biased survival data
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- 作者：Yu Shen ; Jing Ning ; Jing Qin
- 关键词：Length ; biased sampling ; Estimating equation ; Left truncation ; Likelihood ; Nonparametric estimator ; Semiparametric models
- 刊名：Lifetime Data Analysis
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：23
- 期：1
- 页码：3-24
- 全文大小：
- 刊物类别：Mathematics and Statistics
- 刊物主题：Statistics, general; Statistics for Life Sciences, Medicine, Health Sciences; Quality Control, Reliability, Safety and Risk; Statistics for Business/Economics/Mathematical Finance/Insurance; Operation
- 出版者：Springer US
- ISSN：1572-9249
- 卷排序：23
文摘
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.