| Pairwise multiple comparison adjustment in survival analysis. | |
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MedLine Citation:
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PMID: 15977296 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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Brent R Logan; Hong Wang; Mei-Jie Zhang |
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Publication Detail:
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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:
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Title: Statistics in medicine Volume: 24 ISSN: 0277-6715 ISO Abbreviation: Stat Med Publication Date: 2005 Aug |
Date Detail:
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Created Date: 2005-07-28 Completed Date: 2005-11-29 Revised Date: 2007-11-15 |
Medline Journal Info:
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Nlm Unique ID: 8215016 Medline TA: Stat Med Country: England |
Other Details:
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Languages: eng Pagination: 2509-23 Citation Subset: IM |
Copyright Information:
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Copyright 2005 John Wiley & Sons, Ltd |
Affiliation:
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Division of Biostatistics, Medical College of Wisconsin, Milwaukee, 53226-0509, USA. blogan@mcw.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Bone Marrow Transplantation
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ethnology Clinical Trials as Topic / methods* Computer Simulation Graft vs Host Disease / genetics Humans Models, Statistical* Survival Analysis* |
| Grant Support | |
ID/Acronym/Agency:
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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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