Document Detail


The role of frailty models and accelerated failure time models in describing heterogeneity due to omitted covariates.
MedLine Citation:
PMID:  9004393     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
N Keiding; P K Andersen; J P Klein
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Statistics in medicine     Volume:  16     ISSN:  0277-6715     ISO Abbreviation:  Stat Med     Publication Date:    1997 Jan 15-Feb 15
Date Detail:
Created Date:  1997-03-26     Completed Date:  1997-03-26     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  215-24     Citation Subset:  IM    
Affiliation:
Department of Biostatistics, University of Copenhagen, Denmark.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Models, Statistical*
Proportional Hazards Models
Regression Analysis
Survival Analysis*
Grant Support
ID/Acronym/Agency:
2R01 CA54706-04A1/CA/NCI NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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