MultiTest V.1.2, a program to binomially combine independent tests and performance comparison with other related methods on proportional data |
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| Authors: | Thierry De Mee?s Jean-Fran?ois Guégan Anatoly T Teriokhin |
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| Affiliation: | (1) IRD, UMR 177 IRD-CIRAD "Trypanosomoses", Centre International de Recherche-D?veloppement sur l'Elevage en zone Subhumide (CIRDES), 01 BP 454, Bobo-Dioulasso 01, Burkina-Faso, France;(2) G?n?tique et Evolution des Maladies Infectieuses, UMR 2724 CNRS/IRD/Universit? de Montpellier, and French School of Public Health, 911 Av Agropolis, BP 64501, 34394 Montpellier Cedex 5, France;(3) Section of General Ecology, Dept of Biology, Moscow Lomonosov State University, Moscow, 119899, Russia |
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| Abstract: | Background Combining multiple independent tests, when all test the same hypothesis and in the same direction, has been the subject of several approaches. Besides the inappropriate (in this case) Bonferroni procedure, the Fisher's method has been widely used, in particular in population genetics. This last method has nevertheless been challenged by the SGM (symmetry around the geometric mean) and Stouffer's Z-transformed methods that are less sensitive to asymmetry and deviations from uniformity of the distribution of the partial P-values. Performances of these different procedures were never compared on proportional data such as those currently used in population genetics. |
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