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  1. Fulltext. Adjusting for muliple testing when reporting research results : The Bonferroni vs Holm methods.

    Article - En anglais


    Public health researchers are sometimes required to make adjustments for multiple testing in reporting their results, which reduces the apparent significance of effects and thus reduces statistical power.

    The Bonferroni procedure is the most widely recommended way of doing this, but another procedure, that of Holm, is uniformly better.

    Researchers may have neglected Holm's procedure because it has been framed in terms of hypothesis test rejection rather than in terms of P values.

    An adjustment to P values based on Holm's method is presented in order to promote the method's use in public health research.

    Mots-clés Pascal : Méthode statistique, Etude comparative, Recherche appliquée, Ajustement, Méthode Holm, Méthode Bonferroni

    Mots-clés Pascal anglais : Statistical method, Comparative study, Applied research, Fitting

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 96-0273306

    Code Inist : 002B28F. Création : 199608.