“Improved Confidence Interval Estimation for Correlated Diagnostic Test Data AUC with Application to Porcine Parainfluenza Virus Type-1 Antibody Detection”

https://pubmed.ncbi.nlm.nih.gov/38116513

This study proposes new methods for estimating confidence intervals of the AUC for correlated diagnostic test data, improving coverage probabilities compared to traditional methods, and demonstrates their application in evaluating a whole-virus ELISA diagnostic assay for detecting porcine parainfluenza virus type-1 antibodies in swine serum.