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Lifetime Data Analysis
Erschienen in: Lifetime Data Analysis 1/2017

16.04.2016

Nonparametric and semiparametric regression estimation for length-biased survival data

verfasst von: Yu Shen, Jing Ning, Jing Qin

Erschienen in: Lifetime Data Analysis | Ausgabe 1/2017

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Abstract

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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Nächster Artikel Nonparametric estimation in the illness-death model using prevalent data

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Metadaten
Titel
Nonparametric and semiparametric regression estimation for length-biased survival data
verfasst von
Yu Shen
Jing Ning
Jing Qin
Publikationsdatum
16.04.2016
Verlag
Springer US
Erschienen in
Lifetime Data Analysis / Ausgabe 1/2017
Print ISSN: 1380-7870
Elektronische ISSN: 1572-9249
DOI
https://doi.org/10.1007/s10985-016-9367-y

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