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  1. Assessing the effect of time-varying covariates in cross-sectional studies.

    Article - En anglais

    In cross-sectional studies exposure and disease status of individuals are assessed at the same point in time, but sometimes information on prior exposure status is also gathered.

    Under such circumstances one approach to assessing the relationship between disease and exposure is using linear or logistic regression analysis, adjusting for exposure status at different points in time.

    It is shown that estimates for the effect of exposure at a certain point in time, adjusted for exposure at another point in time, are obtained from comparisons between groups with different patterns of exposure.

    Careful interpretation of the resulting estimates is necessary, taking into account a detailed consideration of possible exposure patterns.

    Mots-clés Pascal : Epidémiologie, Etude transversale, Méthodologie, Méthode statistique, Variation temporelle, Tabagisme, Mère, Toxicité, Enfant, Appareil respiratoire pathologie, Régression logistique, Homme

    Mots-clés Pascal anglais : Epidemiology, Cross sectional study, Methodology, Statistical method, Time variation, Tobacco smoking, Mother, Toxicity, Child, Respiratory disease, Logistic regression, Human

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

    Cote : 94-0643080

    Code Inist : 002B30A01A1. Création : 09/06/1995.