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ROC volumes--should they be used?

Donna K McClish1

  • 1Department of Biostatistics, Virginia Commonwealth University, 730 E. Broad St, Richmond, VA 23298-0032, USA. mcclish@vcu.edu

Biometrical Journal. Biometrische Zeitschrift
|October 11, 2007
PubMed
Summary

This comment discusses the use of ROC umbrella volumes for assessing diagnostic accuracy. It highlights limitations in using these volumes for multi-class problems and test comparisons.

Area of Science:

  • Biostatistics
  • Medical Diagnostics
  • Statistical Modeling

Background:

  • This work comments on Alonzo and Nakas's (2007) paper on ROC umbrella volumes.
  • The paper explored ROC umbrella volumes for assessing diagnostic accuracy, particularly for lung cancer markers.

Discussion:

  • Concerns are raised regarding the suitability of ROC umbrella volumes as summary measures.
  • The appropriateness of these volumes is questioned when differentiating between multiple disease classes.
  • Challenges in using ROC umbrella volumes for comparing the accuracy of different diagnostic tests are discussed.

Key Insights:

  • ROC umbrella volumes may not be universally appropriate for all diagnostic accuracy assessments.
  • The utility of ROC umbrella volumes is limited in multi-class diagnostic scenarios.

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  • Comparing test accuracy using ROC umbrella volumes presents methodological challenges.

    • Outlook:

    • Further research is needed to refine or identify alternative summary measures for diagnostic accuracy.
    • Developing robust methods for comparing diagnostic tests across multiple classes remains an important area.
    • The discussion prompts critical evaluation of existing statistical tools in medical diagnostics.