Nonparametric Predictive Inference for Accuracy of Ordinal Diagnostic Tests
We introduce nonparametric predictive inference (NPI) for accuracy of diagnostic tests with ordinal outcomes, with the inferences based on data for a disease group and a non-disease group. We introduce empirical and NPI lower and upper receiver operating characteristic (ROC) curves and the corresponding areas under the curves, and we prove that these are nested, with the latter equal to the NPI lower and upper probabilities for correctly ordered future observations from the non-disease and disease groups. We discuss the use of the Youden index related to the NPI lower and upper ROC curves in order to determine the optimal cutoff point for the test.
KeywordsAccuracy of diagnostic tests Lower and upper probabilities Nonparametric predictive inference Ordinal data ROC curves
AMS Subject Classification60A99 62G99 62P10
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