ROC Curves in Non-Parametric Location-Scale Regression Models
(2011) Scandinavian Journal of Statistics : theory and applications — Vol. 38, n° 1, p. 169-184 (2011)
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- Authors
- 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.
- Affiliations
Universidade de Santiago de Compostela Departamento de Estatistica e IO Universidade de vigo Departamento de Estatística
Citations
González-Manteiga, W., Pardo-Fernández, J. C., & Van Keilegom, I. (2011). ROC Curves in Non-Parametric Location-Scale Regression Models. Scandinavian Journal of Statistics : theory and applications, 38(1), 169-184. https://doi.org/10.1111/j.1467-9469.2010.00693.x (Original work published 2011)