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  1. Reliability-adjusted disease maps.

    Article - En anglais

    Bayesian methods for adjusting mortality and morbidity rates to account for variations caused by small numbers are presented.

    Although such methods produce statistically biased morbidity and mortality rate estimates, these approaches are superior for any applications that depend on a relative ordering of a set of rates because the total error of prediction for the maps taken as a whole is smaller.

    This approach is especially relevant for identifying cancer'hot spots'for a set of geographic areas.

    The theory and usefulness of making such adjustments for geographic data sets are described and an example presented, comparing classical and Bayesian rate estimation methods for rank ordering female breast cancer data in the San Francisco-Oakland SMSA.

    Mots-clés Pascal : Mortalité, Morbidité, Test Bayes, Méthode statistique, Répartition géographique, Cartographie, Etats Unis, Tumeur maligne, Glande mammaire, Homme, Femelle, Amérique du Nord, Amérique, Glande mammaire pathologie

    Mots-clés Pascal anglais : Mortality, Morbidity, Bayes test, Statistical method, Geographic distribution, Cartography, United States, Malignant tumor, Mammary gland, Human, Female, North America, America, Mammary gland diseases

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

    Cote : 95-0550803

    Code Inist : 002B30A01A1. Création : 01/03/1996.