Medical College of Wisconsin
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Pairwise multiple comparison adjustment in survival analysis. Stat Med 2005 Aug 30;24(16):2509-23 PMID: 15977296

Pubmed ID

15977296

Abstract

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.

Author List

Logan BR, Wang H, Zhang MJ

Authors

Brent R. Logan PhD Director, Professor in the Institute for Health and Equity department at Medical College of Wisconsin
Mei-Jie Zhang PhD Professor in the Institute for Health and Equity department at Medical College of Wisconsin




Scopus

2-s2.0-23244466624   12 Citations

MESH terms used to index this publication - Major topics in bold

Bone Marrow Transplantation
Clinical Trials as Topic
Computer Simulation
Graft vs Host Disease
Humans
Models, Statistical
Survival Analysis
jenkins-FCD Prod-296 4db9d02597e0a2e889e230f853b641c12f1c3ee3