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
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 95-0230435
Code Inist : 002B30A01A1. Création : 09/06/1995.