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One option Prism provides in the Classification and Interpolation section of options for simple logistic regression is to generate an ROC curve and to calculate the area under this curve (AUC). Learn more about interpreting AUC. The results for the area under the ROC curve that Prism reports include:


Standard error of the area

95% confidence interval of the area

P value (testing the null hypothesis that AUC = 0.5)



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