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  1. Empirical-Bayes and semi-Bayes approaches to occupational and environmental hazard surveillance.

    Article - En anglais

    Empirical-Bayes methods offer potentially dramatic improvements in statistical accuracy over conventional statistical methods.

    We provide an elementary introduction to empirical-Bayes analysis of occupational and environmental hazard surveillance data.

    Such analyses are especially well suited to situations in which many associations must be examined, but few or none can be estimated precisely.

    Statistical issues in hazard surveillance are reviewed, followed by a discussion of the rationale and methods for empirical-Bayes analyses, using a study of occupational exposures and cancer mortality to illustrate key concepts.

    Mots-clés Pascal : Exposition professionnelle, Pollution, Environnement, Surveillance biologique, Etude statistique, Homme, Test Bayes, Epidémiologie, Méthodologie

    Mots-clés Pascal anglais : Occupational exposure, Pollution, Environment, Biological monitoring, Statistical study, Human, Bayes test, Epidemiology, Methodology

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

    Cote : 94-0264625

    Code Inist : 002B30A01A1. Création : 199406.