ROC Curves in Non-Parametric Location-Scale Regression Models

Authors


Juan Carlos Pardo-Fernández, Departamento de Estatística e Investigación Operativa, Universidade de Vigo, E.U. Enxeñaría Técnica Industrial, Rúa Torrecedeira 86, Vigo (36208), Spain.
E-mail: juancp@uvigo.es

Abstract

Abstract.  The receiver operating characteristic (ROC) curve is a tool of extensive use to analyse the discrimination capability of a diagnostic variable in medical studies. In certain situations, the presence of a covariate related to the diagnostic variable can increase the discriminating power of the ROC curve. In this article, we model the effect of the covariate over the diagnostic variable by means of non-parametric location-scale regression models. We propose a new non-parametric estimator of the conditional ROC curve and study its asymptotic properties. We also present some simulations and an illustration to a data set concerning diagnosis of diabetes.

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