Sensitivity and Specificity (ROC)

Receiver operating characteristic curves (ROC) are widely used to display a plot of the true positive rate against the false positive rate for the different possible cut-points of a diagnostic test. Aabel's implementation of ROC allows plotting:

• ROC for a single test
• ROC for two tests on paired samples. See the ROC curve and the corresponding ROC summary table in the top image below, from the published data of Hanley, J.A., McNeil, B.J. (1983)
• ROC for two tests on unpaired samples. See the right-hand side ROC curve in the bottom image below
• Aabel ROC (to directly visualize the optimal test value(s) on an ROC curve, Aabel provides a specific implementation to allow projecting the values onto the diagonal line). See the left-hand side ROC curve in the bottom image below