In the analysis of epidemiologic data in which exposure has been measured on a continuous scale, cutpoints can be defined to delineate categories or exposure can be modeled as a continuous covariate by assuming a special functional shape of the effect on disease status.
Rules for classifying exposure into two or more categories range from a priori selection of cutpoints to data-oriented rules.
The risk estimates may vary, however, with the choice of cutpoint.
If the cutpoint selected is that for which the most impressive effect of exposure on outcome is observed, the final result must be qualified by adjustment.
In this paper, the authors propose a method for adjusting results which are derived by varying the cutpoint on a specified selection interval.
Mots-clés Pascal : Epidémiologie, Méthodologie, Modèle statistique, Tumeur maligne, Champ électromagnétique, Enfant, Toxicité, Danemark, Biais, Etude cas témoin, Homme, Europe
Mots-clés Pascal anglais : Epidemiology, Methodology, Statistical model, Malignant tumor, Electromagnetic field, Child, Toxicity, Denmark, Case control study, Human, Europe
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 94-0622896
Code Inist : 002B30A01A1. Création : 09/06/1995.