A Review on ROC Curves in the Presence of Covariates

Authors

  • Juan Carlos Pardo-Fernández Universidade de Vigo
  • María Xosé Rodríguez-Álvarez Universidade de Vigo
  • Ingrid Van Keilegom Université catholique de Louvain

DOI:

https://doi.org/10.57805/revstat.v12i1.142

Keywords:

covariate, kernel smoothing, location-scale model, nonparametric inference, regression, ROC curve

Abstract

In this paper we review the literature on ROC curves in the presence of covariates. We discuss the different approaches that have been proposed in the literature to define, model, estimate and do asymptotics for ROC curves that incorporate covariates. For reasons of brevity, we mostly focus on nonparametric approaches, although some parametric and semiparametric methods are also discussed. We also analyze endocrinological data on the body mass index to illustrate the methodology. Finally, we mention some research topics that need further investigation or that are still unexplored.

Published

2014-04-01

How to Cite

Pardo-Fernández , J. C. ., Rodríguez-Álvarez , M. X., & Van Keilegom , I. (2014). A Review on ROC Curves in the Presence of Covariates. REVSTAT-Statistical Journal, 12(1), 21–41. https://doi.org/10.57805/revstat.v12i1.142