Tests of ROC curves

What is it about?

This paper looks at different methods of comparing the Area Under the Curve (AUC) of Receiver Operating Characteristic curves. In particular it compares the Hanley and McNeil methods with Delong, Delong and Clarke Methods

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Why is it important?

ROC curves are becoming a very popular analytic tool in diagnostic medicine. Often in medicine a substitute test is carried out on patients instead of the gold standard test for reasons mainly related to economy. It is often important to check how successful the substitute test is with respect to the gold standard. This requires a comparison of AUC's. There are many other applications of ROC curves but I think what is unique and timely about our work is its contribution to medical diagnostics.