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  1. A suggestion for improving intelligibility in multivariate coufounder adjustment using alcohol intake and birth weight as an example : a confounder score approach in analyzing continuous data.

    Article - En anglais

    Adjustment for multiple confounding is usually done by applying some kind of regression model.

    This requires assumptions about the type of relationship between the exposure of interest and outcome.

    It has been suggested to use confounder scores within strata of which the relationship can be scrutinised whithout such assumptions.

    Adjusting continuous outcomes for confounding factors, like birth weight for gestational age and lung function measures for age, is sometimes done by using the ratio of the observed outcome to an outcome expected from a reference series external to the study, with a concomitant risk of introducing new confounding.

    Mots-clés Pascal : Epidémiologie, Méthodologie, Homme, Poids naissance, Consommation, Ethanol, Analyse statistique, Analyse multivariable, Danemark, Europe

    Mots-clés Pascal anglais : Epidemiology, Methodology, Human, Birth weight, Consumption, Ethanol, Statistical analysis, Multivariate analysis, Denmark, Europe

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

    Cote : 92-0416836

    Code Inist : 002B30A01A1. Création : 199406.