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Testing an underlying assumption on a ROC curve based on rating data.

X H Zhou
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Abstract

The receiver operating characteristic (ROC) curve is widely accepted as the measurement that best represents the accuracy of a diagnostic system that consists of a diagnostic imaging modality and a reader who is interpreting results from the modality. However, there is one implicit assumption in a ROC curve: that the cutoff points to declare a positive test for decision variables of a diseased patient and a nondiseased patient are the same. If this assumption is violated, then a ROC curve does not exist. The author develops a statistical procedure to test this assumption. To demonstrate, he applies the method to a ROC data set and shows that the assumption of the equal cutoff points could be rejected.

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Data Interpretation, StatisticalDecision Support TechniquesHumansLikelihood FunctionsROC CurveRadiographyReproducibility of ResultsSensitivity and SpecificityJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, P.H.S.

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X H Zhou. Testing an underlying assumption on a ROC curve based on rating data.. https://doi.org/10.1177/0272989x9501500310

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