What Is the Right Comparison? ROC Curve and Trade-Off Between Key Diagnostic Test Errors (ROCKE)

  • Norberto Pantoja-GaliciaEmail author
  • Gene Pennello
Part of the ICSA Book Series in Statistics book series (ICSABSS)


We discuss the implicit or explicit trade-offs between false positive and false negative tests errors provided by the information from the Receiver Operating Characteristic (ROC) curve. We discuss its impact for the evaluation of the performance of a new medical diagnostic test in comparison with an already established test. We discuss the comparability of a new test N with respect to a standard test S in terms of the seriousness of a False Positive error relative to a False Negative error using information from the ROC curve.


Diagnostic tests Medical diagnostic errors ROC curve False positive error False negative error 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.U.S. Food and Drug Administration/Center for Devices and Radiological HealthSilver SpringUSA

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