logo BDSP

Base documentaire


  1. Disease mapping with errors in covariates.

    Article - En anglais

    We describe Bayesian hierarchical-spatial models for disease mapping with imprecisely observed ecological covariates.

    We posit smoothing priors for both the disease submodel and the covariate submodel.

    We apply the models to an analysis of insulin Dependent Diabetes Mellitus incidence in Sardinia, with malaria prevalence as a covariate.

    Mots-clés Pascal : Représentation cartographique, Maladie contagieuse, Estimation Bayes, Modèle 3 dimensions, Système hiérarchisé, Calcul erreur, Covariable, Donnée expérimentale, Afrique, Diabète insulinodépendant, Homme, Paludisme, Protozoose, Parasitose, Infection, Chaîne Markov, Epidémie, Endocrinopathie, Immunopathologie, Maladie autoimmune

    Mots-clés Pascal anglais : Cartographic representation, Communicable disease, Bayes estimation, Three dimensional model, Hierarchical system, Error analysis, Covariate, Experimental data, Africa, Insulin dependent diabetes, Human, Malaria, Protozoal disease, Parasitosis, Infection, Markov chain, Epidemic, Endocrinopathy, Immunopathology, Autoimmune disease

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

    Cote : 97-0263819

    Code Inist : 002B30A01A2. Création : 11/06/1997.