Non Parametric ROC Summary Statistics

Authors

  • M.C. Pardo Complutense University of Madrid
  • A.M. Franco-Pereira Complutense University of Madrid

DOI:

https://doi.org/10.57805/revstat.v15i4.228

Keywords:

receiver operating characteristic, non parametric methods, diagnostic marker

Abstract

Receiver operating characteristic (ROC) curves are useful statistical tools for medical diagnostic testing. It has been proved its capability to assess diagnostic marker’s ability to distinguish between healthy and diseased subjects and to compare different diagnostic markers. In this paper we introduce non parametric ROC summary statistics to assess a ROC curve across the entire range of F P F s ∈ (0, 1) as well as over a restricted range of F P F s and compare them with some existing ones through a simulation study and through some real data examples. We also show their capability to compare two diagnostic markers.

Published

2022-01-14

How to Cite

Pardo , M., & Franco-Pereira , A. (2022). Non Parametric ROC Summary Statistics. REVSTAT-Statistical Journal, 15(4), 583–600. https://doi.org/10.57805/revstat.v15i4.228