Document Detail


A permutational step-up method of testing multiple outcomes.
MedLine Citation:
PMID:  8805759     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper describes a permutational step-up multiple comparison procedure to adjust the p values from k related hypotheses. The method is applicable when two groups of subjects are being compared on each of k outcomes. It is related to the step-down method of Westfall and Young (1993, Resampling-Based Multiple Testing: Examples and Methods for P-Value Adjustment, Volume 1) and Troendle (1995, Journal of the American Statistical Association 90, 370-378) and is an alternative to the analytic step-up method of Dunnett and Tamhane (1992, Journal of the American Statistical Association 87, 162-170), which requires a specific distribution and correlation structure. By conditioning on the data observed, this permutational method avoids any specific distribution or correlation assumption. It is shown very generally that the method asymptotically controls the familywise probability of a type I error.
Authors:
J F Troendle
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Biometrics     Volume:  52     ISSN:  0006-341X     ISO Abbreviation:  Biometrics     Publication Date:  1996 Sep 
Date Detail:
Created Date:  1996-11-06     Completed Date:  1996-11-06     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  0370625     Medline TA:  Biometrics     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  846-59     Citation Subset:  IM    
Affiliation:
National Institute of Child Health and Human Development, Division of Epidemiology, Statistics, and Prevention Reserach, Bethesda, Maryland 20892, USA.
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MeSH Terms
Descriptor/Qualifier:
Biometry
Congenital Abnormalities / epidemiology,  etiology
Controlled Clinical Trials as Topic / methods*,  statistics & numerical data
Data Interpretation, Statistical
Female
Humans
Infant, Newborn
Models, Statistical
Pregnancy
Pregnancy in Diabetics

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


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