A study of indices useful for the assessment of diagnostic markers in non-parametric ROC curve analysis

DOI10.1080/03610918.2018.1511806OpenAlexW2900659115WikidataQ60266965 ScholiaQ60266965MaRDI QIDQ5088098

Christos T. Nakas, Rosa Alonso, M. Carmen Pardo

Publication date: 4 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1511806

zbMATH Keywords

receiver operating characteristic (ROC) curvesKolmogorov-Smirnovarea under the ROC curve (AUC)goodness-of-fit testing

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Biomarker assessment in ROC curve analysis using the length of the curve as an index of diagnostic accuracy: the binormal model framework

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• General nonparametric ROC curve comparison
• Powerful nonparametric statistics to compare k independent ROC curves
• Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
• A modified sign test for comparing paired ROC curves
• ROC Curves for Continuous Data
• A Generalization of the One-Sided Two-Sample Kolmogorov-Smirnov Statistic for Evaluating Diagnostic Tests
• Comparing Two Diagnostic Tests against the Same "Gold Standard" in the Same Sample
• A distribution-free procedure for comparing receiver operating characteristic curves for a paired experiment
• An alternative method for global and partial comparison of two diagnostic systems based on ROC curves
• A Class of Statistics with Asymptotically Normal Distribution

This page was built for publication: A study of indices useful for the assessment of diagnostic markers in non-parametric ROC curve analysis