JOURNAL OF CLINICAL EPIDEMIOLOGY, vol. 45, n° 11, 1992, pages 1237-1241, 24 réf., ISSN 0895-4356, USA
COUGHLIN (S.S.) *, PICKLE (L.W.), GOODMAN (M.T.), WILKENS (L.R.)
An approach to the logistic modeling of interobserver agreement is described that allows for the estimation of a commonly employed measure of agreement.
The dependent variable is defined to be 1 if the two raters agree, and 0 otherwise.
Covariates may be included in the regression equation in order to obtain adjusted or subgroup-specific estimates of percent agreement.
As an empirical example, logistic models were fitted to data from a validation study of the agreement between interview information and physician records on the history of post-menopausal estrogen use, from a case-control study of breast cancer conducted on Oahu, Hawaii.
Mots-clés BDSP : Cancer, Glande mammaire [pathologie], Sein, Epidémiologie
Mots-clés Pascal : Modèle mathématique, Tumeur maligne, Femelle, Glande mammaire pathologie, Glande mammaire, Epidémiologie, Oestrogène
Mots-clés Pascal anglais : Mathematical model, Malignant tumor, Female, Mammary gland diseases, Mammary gland, Epidemiology, Estrogen
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 93-0059622
Code Inist : 002B30A01A2. Création : 199406.