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  1. Fitting epidemiologic follow-up studies with cumulative damage models.

    Article - En anglais

    The use of an extended version of the cumulative damage model to identify and quantify cancer risk arising from a specified exposure is outlined.

    For this, a strategy to fit the model to individual data coming from epidemiologic follow-up studies is described.

    Two statistical problems are addressed: first, the regularity of the model has to be ascertained to allow the application of maximum-likelihood and likelihood-ratio methods for parameter estimation and testing.

    Second, a statistical test has to be found that permits testing goodness of fit in the setting of parameter estimation with individual data.

    As an example, these methods are applied to the data of a cohort study on mortality among stainless steel welders in the Federal Republic of Germany.

    Mots-clés Pascal : Dommage cumulatif, Modèle statistique, Epidémiologie, Etude longitudinale, Analyse risque, Tumeur maligne, Analyse quantitative, Homme, Facteur risque, Modèle mathématique, Ajustement

    Mots-clés Pascal anglais : Cumulative damage, Statistical model, Epidemiology, Follow up study, Risk analysis, Malignant tumor, Quantitative analysis, Human, Risk factor, Mathematical model, Fitting

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

    Cote : 94-0310189

    Code Inist : 002B30A01A1. Création : 199406.