Simple solution to a common statistical problem: Interpreting multiple tests

Background: The misinterpretation of the results of multiple statistical tests is an error commonly made in scientific literature. When testing several outcome variables simultaneously, many researchers declare a statistically significant result for each test having a P value of

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Bibliographic Details
Published in:Clinical therapeutics 2004-05, Vol.26 (5), p.780-786
Main Authors: Gordi, Toufigh, Khamis, Harry
Format: Article
Language:English
Subjects:
Confidence Intervals
Data Interpretation, Statistical
multiple testing
overall error rate
Research Design - statistics & numerical data
sequentially rejective Bonferroni test
simultaneous inferences
testwise error rate
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Description
Summary:Background: The misinterpretation of the results of multiple statistical tests is an error commonly made in scientific literature. When testing several outcome variables simultaneously, many researchers declare a statistically significant result for each test having a P value of
ISSN:0149-2918
1879-114X
DOI:10.1016/S0149-2918(04)90078-1