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Published on: November 11, 2020
[ROC curve]
J A Martínez Pérez1, P S Pérez Martin2
1Miembro de la Comisión Nacional de Calidad de SEMERGEN, Madrid, España.
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.
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