Significados de use roc en inglés

Lesion size and density were compared using analysis of variance, lesion size also assessed using ROC curves.

The predictive accuracies of the two cCICRs and the Framingham Risk Scores were assessed and compared using ROC curves.

Using ROC analysis cut-off values with optimal specificity and sensitivity were 6, 1 and 10%, respectively.

Moreover, using ROC cutoff ≥ 0.80, FCGR1A was the only marker with classifying potential between TB infection and TB disease regardless of HIV status.