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  1. The statistical analysis of Kappa statistics in multiple samples.

    Article - En anglais

    Methods are presented for assessing and comparing the results of k = 2 independent samples of measured agreement or concordance, where in each sample a given member of a pair of observations is classified according to the presence or absence of a binary trait.

    Examples include the assessment of interobserver agreement across different groups of patients in a clinical study, investigations of sibling concordance across different genetic groups, and meta-analyses of observer agreement across different studies.

    The methodology described is based on application of goodness-of-fit theory to testing hypotheses concerning kappa statistics.

    Partitioning methods allow a variety of hypotheses to be tested, including an assessment of the degree of agreement within each sample, a testing procedure based on the pooled data, and a test of heterogeneity that may be used to assess the validity of pooling across samples.

    Three examples are given.

    Mots-clés Pascal : Analyse statistique, Modèle mathématique, Métaanalyse, Comparaison interindividuelle, Epidémiologie, Méthodologie, Homme

    Mots-clés Pascal anglais : Statistical analysis, Mathematical model, Metaanalysis, Interindividual comparison, Epidemiology, Methodology, Human

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

    Cote : 97-0465509

    Code Inist : 002B30A01A1. Création : 03/02/1998.