[ROC curve]

Semergen. 2023 Jan-Feb;49(1):101821. doi: 10.1016/j.semerg.2022.101821. Epub 2022 Sep 22.
[Article in Spanish]

Abstract

The ROC curve is a statistical tool used to evaluate the discriminative capacity of a dichotomous diagnostic test. These are curves in which sensitivity is presented as a function of false positives (complementary to specificity) for different cut-off points. They are useful for choosing the most appropriate cut-off point for a test, knowing its overall performance and comparing the discriminative capacity of 2 or more diagnostic tests.

Keywords: Capacidad discriminativa; Curva ROC; Cut-off point; Discriminative capacity; Punto de corte; ROC curve.

Publication types

  • English Abstract

MeSH terms

  • Humans
  • ROC Curve*
  • Sensitivity and Specificity