Comparison of areas under independent ROC curves
areas under independent ROC curves
Allows to compare the Area under the Curve (AUC) of two independent ROC curves.
This test is not performed on data in the spreadsheet, but on statistics you enter in a dialog box.
Enter the Area under the Curve (AUC) and Standard Error (SE) for the two ROC curves.
Click the Test button to test the statistical significance of the difference between the two AUCs.
When the calculated P value is less than 0.05 (P<0.05), the conclusion is that the AUCs of the two ROC curves are significantly different.
Note that in MedCalc P-values are always two-sided (or two-tailed).
In the Comment input field you can enter a comment or conclusion that will be included on the printed report.