Accommodating covariates in roc analysis
For factors that affect discrimination (ie the ROC curve), we describe methods for mod- elling the ROC curve as a function of covariates.
In medical studies, the receiver operating characteristic (ROC) curve is a tool of extensive use to analyze the discrimination capability of a diagnostic variable.
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Adjusting the generalized ROC curve for covariates.
We describe three ways of using covariate information.
For factors that affect discrimination (i.e., the ROC curve), we describe methods for modeling the ROC curve as a function of covariates.
Data on socio-demographic characteristics, lifestyle and cognitive-related factors, and type, place and frequency of preferred gambling were obtained by a self-administered questionnaire.