title: Evaluating the discriminatory power of a multiple logistic regression model.
abstract: Various measures for estimating the goodness-of-fit of the multiple logistic regression (MLR) model have been suggested, although there is no clear consensus as to which measure is most suitable. In this paper, a simple measure of the discriminatory power of the fitted MLR model, based on maximization of Youden's J index (J*), is proposed and compared with several goodness-of-fit statistics described previously. The relative effectiveness of the measure is illustrated using data from the Lipid Research Clinics Prevalence Study. It is suggested that J* may be a useful alternative index of goodness-of-fit of an MLR model, with the added advantage of having a simple practical interpretation.
authors: Occupational Health and Rehabilitation Institute at Loewenstein Hospital, Raanana, Israel.
authors: M S
authors: MS
authors: Green
mesh_terms: D000328:Adult; D000368:Aged; D003327:Coronary Disease / Q000097:blood; D004812:Epidemiologic Methods; D005260:Female; D006801:Humans; D008074:Lipoproteins / Q000097:blood; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D012044:Regression Analysis
chemical_list: D008074:Lipoproteins