Selection between proportional and stratified hazards models based on expected log-likelihood
type: Item
instance of: scholarly article
title: Selection between proportional and stratified hazards models based on expected log-likelihood
zbMATH Open document ID: 1198.62135
author: Benoit Liquet
author: Jérôme Saracco
author: Daniel Commenges
published in: Computational Statistics
publication date: 2010-04-22T00:00:00Z
full work available at URL: liquet commenges saracco 2007.pdf
review text: The authors consider the problem of choosing between the Cox proportional hazard model and a stratified model for survival data. They propose to use the expectation of the log-likelihood as a theoretical criterion and the likelihood cross-validation criterion as its empirical approximation. The efficiency of the proposed approach is assessed via simulations. An application to epidemiologic data is considered.
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 5697313
zbMATH Keywords: Cox regression
zbMATH Keywords: likelihood cross-validation
zbMATH Keywords: survival data
MaRDI profile type: Publication
OpenAlex ID: W2024124714
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DOI: 10.1007/S00180-007-0079-3
description: scientific article; zbMATH DE number 5697313