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  1. Tree-based risk factor analysis of preterm delivery and small-for-gestational-age birth.

    Article - En anglais

    Using data collected at the Yale-New Haven Hospital, New Haven, Connecticut, in 1980-1982, the authors conducted a tree-based statistical analysis using preterm delivery and small for gestational age as outcomes and the following variables as putative risk factors : maternal age, marital status, ethnicity, education, current employment, smoking, alcohol use, caffeine consumption, marijuana use, hormones/diethylstilbestrol used by the mother, gravidity, parity, and passive smoking.

    The authors'analyses indicate that ethnicity is a leading factor contributing to both outcomes : Black women are more likely to have preterm deliveries as well as to deliver small-for-gestational age infants.

    The tree-based procedure leads to generally consistent results with more traditional secondary analyses of the same data set, but also provides a more fully integrated picture of the important relation.

    The full utility of these procedures for hypothesis generation remains to be explored.

    Mots-clés Pascal : Poids naissance faible, Epidémiologie, Méthodologie, Analyse statistique, Méthode arborescente, Facteur risque, Connecticut, Nouveau né, Etats Unis, Amérique du Nord, Amérique, Homme, Gestation pathologie, Prématurité, Nouveau né pathologie

    Mots-clés Pascal anglais : Low birth weight, Epidemiology, Methodology, Statistical analysis, Tree structured method, Risk factor, Connecticut, Newborn, United States, North America, America, Human, Pregnancy disorders, Prematurity, Newborn diseases

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

    Cote : 95-0230435

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