Document Detail


Simulation program for estimating statistical power of Cox's proportional hazards model assuming no specific distribution for the survival time.
MedLine Citation:
PMID:  1935013     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Small sample properties of the maximum partial likelihood estimates for Cox's proportional hazards model depend on the sample size, the true values of regression coefficients, covariate structure, censoring pattern and possibly baseline hazard functions. Therefore, it would be difficult to construct a formula or table to calculate the exact power of a statistical test for the treatment effect in any specific clinical trial. The simulation program, written in SAS/IML, described in this paper uses Monte-Carlo methods to provide estimates of the exact power for Cox's proportional hazards model. For illustrative purposes, the program was applied to real data obtained from a clinical trial performed in Japan. Since the program does not assume any specific function for the baseline hazard, it is, in principle, applicable to any censored survival data as long as they follow Cox's proportional hazards model.
Authors:
K Akazawa; T Nakamura; S Moriguchi; M Shimada; Y Nose
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Computer methods and programs in biomedicine     Volume:  35     ISSN:  0169-2607     ISO Abbreviation:  Comput Methods Programs Biomed     Publication Date:  1991 Jul 
Date Detail:
Created Date:  1991-12-05     Completed Date:  1991-12-05     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8506513     Medline TA:  Comput Methods Programs Biomed     Country:  NETHERLANDS    
Other Details:
Languages:  eng     Pagination:  203-12     Citation Subset:  IM    
Affiliation:
Department of Medical Informatics, Kyushu University Hospital, Fukuoka, Japan.
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MeSH Terms
Descriptor/Qualifier:
Clinical Trials as Topic / methods
Computer Simulation*
Humans
Monte Carlo Method
Proportional Hazards Models*
Randomized Controlled Trials as Topic / methods
Software
Software Design
Stomach Neoplasms / drug therapy,  mortality
Survival Analysis*

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


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