| The role of frailty models and accelerated failure time models in describing heterogeneity due to omitted covariates. | |
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MedLine Citation:
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PMID: 9004393 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In survival analysis, deviations from proportional hazards may sometimes be explained by unaccounted random heterogeneity, or frailty. This paper recalls the literature on omitted covariates in survival analysis and shows in a case study how unstably frailty models might behave when asked to account for unobserved heterogeneity in standard survival analysis with no replications per heterogeneity unit. Accelerated failure time modelling seems to avoid these difficulties and also to yield easily interpretable results. We propose that it would be advantageous to upgrade the accelerated failure time approach alongside the hazard modelling approach to survival analysis. |
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Authors:
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N Keiding; P K Andersen; J P Klein |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S. |
Journal Detail:
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Title: Statistics in medicine Volume: 16 ISSN: 0277-6715 ISO Abbreviation: Stat Med Publication Date: 1997 Jan 15-Feb 15 |
Date Detail:
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Created Date: 1997-03-26 Completed Date: 1997-03-26 Revised Date: 2007-11-14 |
Medline Journal Info:
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Nlm Unique ID: 8215016 Medline TA: Stat Med Country: ENGLAND |
Other Details:
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Languages: eng Pagination: 215-24 Citation Subset: IM |
Affiliation:
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Department of Biostatistics, University of Copenhagen, Denmark. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Models, Statistical* Proportional Hazards Models Regression Analysis Survival Analysis* |
| Grant Support | |
ID/Acronym/Agency:
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2R01 CA54706-04A1/CA/NCI NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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