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  1. Fulltext. Capture-recapture models including covariate effects.

    Article - En anglais


    Capture-recapture methods are used to estimate the incidence of a disease, using a multiple-source registry.

    Usually, log-linear methods are used to estimate population size, assuming that not all sources of notification are dependent.

    Where there are categorical covariates, a stratified analysis can be performed.

    The multinomial logit model has occasionally been used.

    In this paper, the authors compare log-linear and logit models with and without covariates, and use simulated data to compare estimates from different models.

    The crude estimate of population size is biased when the sources are not independent.

    Analyses adjusting for covariates produce less biased estimates.

    In the absence of covariates, or where all covariates are categorical, the log-linear model and the logit model are equivalent.

    The log-linear model cannot include continuous variables.

    To minimize potential bias in estimating incidence, covariates should be included in the design and analysis of multiple-source disease registries.

    Mots-clés Pascal : Statistique sanitaire, Homme, Méthodologie, Collecte donnée, Registre, Modèle capture recapture, Covariable, Influence, Modèle statistique, Epidémiologie, Analyse statistique

    Mots-clés Pascal anglais : Sanitary statistics, Human, Methodology, Data gathering, Register, Capture recapture model, Covariate, Influence, Statistical model, Epidemiology, Statistical analysis

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

    Cote : 99-0168483

    Code Inist : 002B30A01A1. Création : 16/11/1999.