Document Detail


A method for comparing semi-parametric models with parametric models in competing risks analysis.
MedLine Citation:
PMID:  2591207     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In survival analysis, Cox's regression model is often used to assess the effect of covariates on the time of failure. This semi-parametric model has been extended to the situation where more than one cause of failure is of interest. In this paper, two semi-parametric models for the analysis of competing risks with covariates in the presence of independent random censoring are considered. Particular attention is devoted to the comparison between the two models. A method using a measure derived from the generalized variance is proposed. This method is illustrated with an example in a cancer clinical trial. A FORTRAN program for the computer implementation of the method is also discussed.
Authors:
J Wan
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Computers and biomedical research, an international journal     Volume:  22     ISSN:  0010-4809     ISO Abbreviation:  Comput. Biomed. Res.     Publication Date:  1989 Dec 
Date Detail:
Created Date:  1990-01-12     Completed Date:  1990-01-12     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  0100331     Medline TA:  Comput Biomed Res     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  565-74     Citation Subset:  IM    
Affiliation:
University of Alabama, Birmingham 35294.
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MeSH Terms
Descriptor/Qualifier:
Carcinoma, Squamous Cell / mortality
Computer Simulation*
Humans
Risk*
Software*
Survival Analysis

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


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