Published 2025-10-14
Keywords
- Biomarker,
- Volume Under the ROC,
- Asymptotic Variance and Exponential Distribution
Copyright (c) 2025

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Abstract
Biomarkers play a vital role in detecting the presence of disease or medical condition of interest. The challenging tasks in clinical diagnosis are to interpret the performance of biomarkers. To evaluate the biomarkers efficiency, the most advantageous tool used is Receiver Operating Characteristic (ROC) Curve. For two class problems (abnormal and normal), various models and alternatives are developed to find the biomarker’s performance. In this study, the two class problem has been further extended to the three-class problem i.e. (normal, suspicious and abnormal). The three-class exponential ROC model, Volume Under the ROC Surface (VUS), asymptotic variance and Confidence Interval (CI) for VUS have been derived. The model has been validated using a simulated data and for the real-life dataset from the underlying distribution.
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