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Testing an Underlying Assumption on a ROC Curve Based on Rating Data

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  • Xiao H. Zhou

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. Key words: ROC curve; likelihood ratio test; cutoff points. (Med Decis Making 1995;15:276-282)

Suggested Citation

  • Xiao H. Zhou, 1995. "Testing an Underlying Assumption on a ROC Curve Based on Rating Data," Medical Decision Making, , vol. 15(3), pages 276-282, August.
    • Handle: RePEc:sae:medema:v:15:y:1995:i:3:p:276-282
    DOI: 10.1177/0272989X9501500310
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