Is the weighted z-test the best method for combining probabilities from independent tests

Through simulation, Whitlock showed that when all the alternatives have the same effect size, the weighted z-test is superior to both unweighted z-test and Fisher's method when combining P-values from independent studies. In this paper, we show that under the same situation, the generalized Fis...

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Bibliographic Details
Published inJournal of evolutionary biology Vol. 24; no. 4; pp. 926 - 930
Main Author CHEN, Z
Format Journal Article
LanguageEnglish
Published Oxford, UK Blackwell Publishing Ltd 01.04.2011
Subjects
accuracy
combined probabilities
Computer Simulation
Data Interpretation, Statistical
Evolutionary biology
Fisher test
generalized Fisher test
meta-analysis
Meta-Analysis as Topic
Probability
probability analysis
Simulation
Stouffer’s method
testing
weighted z‐test
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Summary:Through simulation, Whitlock showed that when all the alternatives have the same effect size, the weighted z-test is superior to both unweighted z-test and Fisher's method when combining P-values from independent studies. In this paper, we show that under the same situation, the generalized Fisher method due to Lancaster outperforms the weighted z-test.
Bibliography:http://dx.doi.org/10.1111/j.1420-9101.2010.02226.x
ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:1010-061X
1420-9101
DOI:10.1111/j.1420-9101.2010.02226.x