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Roc Curve Regression Analysis: The Use Of Ordinal Regression Models For Diagnostic Test Assessment, Anna N.A. Tosteson, Milton C. Weinstein, Jack Wittenberg, Colin B. Begg

Dartmouth Scholarship

Diagnostic tests commonly are characterized by their true positive (sensitivity) and true negative (specificity) classification rates, which rely on a single decision threshold to classify a test result as positive. A more complete description of test accuracy is given by the receiver operating characteristic (ROC) curve, a graph of the false positive and true positive rates obtained as the decision threshold is varied. A generalized regression methodology, which uses a class of ordinal regression models to estimate smoothed ROC curves has been described. Data from a multi-institutional study comparing the accuracy of magnetic resonance (MR) imaging with computed tomography (CT) …