5. Receiver Operating Characteristic analysis graphs
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ROC curve
Description: In a ROC curve the true positive rate (Sensitivity) is plotted against the false positive rate (100-Specificity) for different cut-off points. Each point on the ROC plot represents a sensitivity/specificity pair corresponding to a particular decision threshold.
Requires: one continuous or ordinal variable, and a dichotomous variable identifying positive and negative cases.
Command: ROC curve analysis
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Interactive dot diagram
Description: Additional graph in ROC curve analysis. The data of both positive and negative groups are displayed as dots on two vertical lines. A movable horizontal line indicates the cut-off point with the best separation between the two groups.
Requires: one continuous or ordinal variable, and a dichotomous variable identifying positive and negative cases.
Command: Interactive dot diagram
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Plot versus criterion values
Description: Additional graph in ROC curve analysis. The sensitivity and specificity, and optionally their 95% Confidence Intervals, are plotted against the different criterion values.
Requires: one continuous or ordinal variable, and a dichotomous variable identifying positive and negative cases.
Command: Plot versus criterion values
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Comparison of ROC curves
Description: This graphs displays two or more ROC curves.
Requires: 2 to 6 continuous or ordinal variables, and a dichotomous variable identifying positive and negative cases.
Command: Comparison of ROC curves
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