Document Detail


Pairwise multiple comparison adjustment in survival analysis.
MedLine Citation:
PMID:  15977296     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Many clinical studies have as their endpoint the time until some event (such as death) occurs. Often in such studies researchers are interested in comparing several treatment or prognostic groups with one another in terms of their survival curves. When many such pairwise group comparisons are done, the chance of finding a false significance among all of the comparisons is inflated above the usual desired significance level. This paper investigates methods of adjusting the survival analysis for the number of comparisons being made. These methods are applied to a retrospective study conducted by the International Bone Marrow Transplant Registry and compared in a simulation study in terms of the power to detect actual differences in the survival curves between the groups.
Authors:
Brent R Logan; Hong Wang; Mei-Jie Zhang
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Statistics in medicine     Volume:  24     ISSN:  0277-6715     ISO Abbreviation:  Stat Med     Publication Date:  2005 Aug 
Date Detail:
Created Date:  2005-07-28     Completed Date:  2005-11-29     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  England    
Other Details:
Languages:  eng     Pagination:  2509-23     Citation Subset:  IM    
Copyright Information:
Copyright 2005 John Wiley & Sons, Ltd
Affiliation:
Division of Biostatistics, Medical College of Wisconsin, Milwaukee, 53226-0509, USA. blogan@mcw.edu
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MeSH Terms
Descriptor/Qualifier:
Bone Marrow Transplantation / ethnology
Clinical Trials as Topic / methods*
Computer Simulation
Graft vs Host Disease / genetics
Humans
Models, Statistical*
Survival Analysis*
Grant Support
ID/Acronym/Agency:
2 R01 CA54706-10/CA/NCI NIH HHS

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


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