Document Detail


A modified Bonferroni method for discrete data.
MedLine Citation:
PMID:  2364136     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The Bonferroni adjustment for multiple comparisons is a simple and useful method of controlling the overall false positive error rate when several significance tests are performed in the evaluation of an experiment. In situations with categorical data, the test statistics have discrete distributions. The discreteness of the null distributions can be exploited to reduce the number of significance tests taken into account in the Bonferroni procedure. This reduction is accomplished by using only the information contained in the marginal totals.
Authors:
R E Tarone
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Biometrics     Volume:  46     ISSN:  0006-341X     ISO Abbreviation:  Biometrics     Publication Date:  1990 Jun 
Date Detail:
Created Date:  1990-08-13     Completed Date:  1990-08-13     Revised Date:  2003-11-14    
Medline Journal Info:
Nlm Unique ID:  0370625     Medline TA:  Biometrics     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  515-22     Citation Subset:  IM    
Affiliation:
Biostatistics Branch, National Cancer Institute, Bethesda, Maryland 20892.
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MeSH Terms
Descriptor/Qualifier:
Animals
Biometry / methods*
Carcinogenicity Tests / statistics & numerical data
False Positive Reactions
Reproducibility of Results*

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


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