Max Rady College of Medicine
Term: Receiver Operating Characteristic (ROC) Curve
Last Updated: 2007-09-26
The ROC curve is used to evaluate the accuracy of any method of predicting a dichotomous outcome (e.g. Logistic Regression); it graphically represents the trade-off between false positive and false negative rates for every possible cut off. The graph plots the false positive rate on the x-axis and the true positive rate (1 - the false negative rate) on the y-axis. The area under the curve is of primary interest as it measures the correlation between the category predicted by the test and the true category into which the case falls.
- Acute Myocardial Infarction (AMI) - Adapting the ICES AMI mortality model to Manitoba data
- Sensitivity and Specificity - Using the ROC Curve to Measure
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- Roos LL, Walld RK, Romano PS, Roberecki S. Short-term mortality after repair of hip fracture. Do Manitoba elderly do worse? Med Care 1996;34(4):310-326. [Abstract] (View)
Manitoba Centre for Health Policy
Community Health Sciences, Max Rady College of Medicine,
Rady Faculty of Health Sciences,
Room 408-727 McDermot Ave.
University of Manitoba
Winnipeg, MB R3E 3P5 Canada