Document Detail

Goodness of fit methods for the proportional hazards regression model: a review.
MedLine Citation:
PMID:  6522733     Owner:  NLM     Status:  MEDLINE    
The proportional hazards regression model is now used extensively in survival time studies. Although the model (hazard function, lambda (t;x) = lambda 0 (t)e beta' x) can be considered to be partially distribution-free, the following assumptions regarding the distribution of survival time are made: 1. Hazard functions for any two individuals are proportional. Thus (Formula: see text) is independent of t. 2. Independent variables affect the log hazard in an additive way (Formula: see text) This paper reviews methods available for assessing these assumptions in particular cases.
R Kay
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Revue d'épidémiologie et de santé publique     Volume:  32     ISSN:  0398-7620     ISO Abbreviation:  Rev Epidemiol Sante Publique     Publication Date:  1984  
Date Detail:
Created Date:  1985-03-08     Completed Date:  1985-03-08     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  7608039     Medline TA:  Rev Epidemiol Sante Publique     Country:  FRANCE    
Other Details:
Languages:  eng     Pagination:  185-98     Citation Subset:  IM    
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MeSH Terms
Models, Theoretical*
Regression Analysis*
Statistics as Topic*

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

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