Estimation and inference on the partial volume under the receiver operating characteristic surface
Year: 2024
Type: article
Abstract: measures of biomarker accuracy that employ the receiver operating characteristic surface have been proposed for biomarkers that classify patients into one of three groups: healthy, benign, or aggressive disease. The volume under the receiver operating characteristic surface summarizes the overall discriminatory ability of a biomarker in such configurations, but includes cutoffs associated with clinically irrelevant true classification rates. Due to the lethal nature of pancreatic cancer, cutoffs associated with a low true classification rate for identifying patients with pancreatic cancer may be undesirable and not appropriate for use in a clinical setting. In this project, we study the properties of a more focused criterion, the partial volume under the receiver operating characteristic surface, that summarizes the diagnostic accuracy of a marker in the three-class setting for regions restricted to only those of clinical interest. We propose methods for estimation and inference on the partial volume under the receiver operating characteristic surface under parametric and non-parametric frameworks and apply these methods to the evaluation of potential biomarkers for the diagnosis of pancreatic cancer.
Authors: Kate J Young, Leonidas E Bantis
Institution: University of Kansas Medical Center
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funders: U.S. Department of Defense, Honorable Tina Brozman Foundation, Children's Mercy Hospital, Ovarian Cancer Research Alliance, Kansas IDeA Network of Biomedical Research Excellence, National Institutes of Health, Cancer Center, University of Kansas, National Cancer Institute, National Institute of General Medical Sciences, National Center for Advancing Translational Sciences
OpenAlex ID: W4401467682