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
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 94-0643080
Code Inist : 002B30A01A1. Création : 09/06/1995.