Significance of the Difference between the Areas under Two Independent ROC Curves

For two ROC curves derived from independent samples, this calculator will assess the significance of the difference between the areas that lie under the curves.

To proceed, enter the indicated data in the text boxes highlighted in yellow, then click the «Calculate» botton.


Sample A
Sample B
number of actually negative cases


number of actually positive cases


area under curve


standard error


difference: areaA—areaB

standard error of the difference

z

P: non-directional (two-tailed)

P: directional (one-tailed)

   






Reference:
Hanley JA, McNeil BJ. The meaning and use of the area under a Receiver Operating Characteristic (ROC) curve. Radiology, 1982, 143, 29-36.







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