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  1. Regression methods for estimating attributable risk in population-based case-control studies : a comparison of additive and multiplicative models.

    Article - En anglais

    A regression method that utilizes an additive model is proposed for the estimation of attributable risk in case-control studies carried out in defined populations.

    In contrast to previous multivariate procedures for the estimation of attributable risk, which have utilized logistic regression techniques to adjust for confounding factors, the model assumes an additive relation between the covariates included in the regression equation.

    As an empirical example, additive and logistic models were fitted to matched case-control data from a population-based study of childhood astrocytoma brain tumors.

    Mots-clés Pascal : Epidémiologie, Méthodologie, Estimation, Risque, Modèle, Analyse statistique, Analyse régression, Tumeur, Encéphale, Poids naissance, Biométrie corporelle, Système nerveux pathologie, Homme

    Mots-clés Pascal anglais : Epidemiology, Methodology, Estimation, Risk, Models, Statistical analysis, Regression analysis, Tumor, Brain, Birth weight, Corporal biometry, Nervous system diseases, Human

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

    Cote : 91-0477904

    Code Inist : 002B30A. Création : 199406.