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Measuring diagnostic accuracy for biomarkers under tree-ordering.

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Summary
This summary is machine-generated.

This study introduces the integrated false negative rate (ITFNR) as a crucial diagnostic measure for tree or umbrella ordering alongside TAUC. Combining (TAUC, ITFNR) offers a more comprehensive evaluation of biomarker diagnostic accuracy in these ordering scenarios.

Keywords:
ROC curveROC curve for tree orderingarea under TROCconfidence regionfalse negative rategeneralized inference

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Area of Science:

  • Biostatistics
  • Medical Diagnostics
  • Bioinformatics

Background:

  • Existing diagnostic measures like naive AUC (NAUC), umbrella volume (UV), and TAUC do not fully capture performance in tree or umbrella ordering.
  • A key characteristic of ordered diagnostic accuracy has been overlooked in current evaluation methods.

Purpose of the Study:

  • To promote the integrated false negative rate under tree ordering (ITFNR) as an essential diagnostic measure.
  • To propose the combined use of (TAUC, ITFNR) for a more robust evaluation of biomarker diagnostic accuracy in tree or umbrella ordering.

Main Methods:

  • Development of parametric and non-parametric approaches for constructing joint confidence regions for (TAUC, ITFNR).
  • Conducting simulation studies across diverse settings to assess and compare the performance of proposed methods.
  • Application and analysis of a published microarray dataset to demonstrate practical utility.

Main Results:

  • The integrated false negative rate (ITFNR) is identified as a valuable complementary measure to TAUC for ordered diagnostic accuracy.
  • The proposed (TAUC, ITFNR) approach provides a more comprehensive assessment of biomarker performance in tree/umbrella ordering.
  • Simulation studies validate the effectiveness of the developed parametric and non-parametric methods for confidence region construction.

Conclusions:

  • The integrated false negative rate (ITFNR) should be adopted as a standard diagnostic measure alongside TAUC for tree or umbrella ordering.
  • The joint evaluation using (TAUC, ITFNR) offers superior diagnostic accuracy assessment compared to TAUC alone.
  • The proposed methods are effective and applicable for analyzing real-world biomarker data, as shown by the microarray dataset analysis.