Combining probability from independent tests: the weighted Z‐method is superior to Fisher's approach

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ID: 306729
2005
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Abstract
The most commonly used method in evolutionary biology for combining information across multiple tests of the same null hypothesis is Fisher's combined probability test. This note shows that an alternative method called the weighted Z-test has more power and more precision than does Fisher's test. Furthermore, in contrast to some statements in the literature, the weighted Z-method is superior to the unweighted Z-transform approach. The results in this note show that, when combining P-values from multiple tests of the same hypothesis, the weighted Z-method should be preferred.
Reference Key
openalex_W1587447328 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Michael C. Whitlock
Journal journal of evolutionary biology
Year 2005
DOI
10.1111/j.1420-9101.2005.00917.x
URL
https://doi.org/10.1111/j.1420-9101.2005.00917.x
Keywords Keywords not found

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