Bayesian ROC curve estimation under binormality using an ordinal category likelihood

DOI10.1080/03610926.2017.1380830OpenAlexW2756397218MaRDI QIDQ5154102

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Publication date: 1 October 2021

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2017.1380830

zbMATH Keywords

Metropolis-Hastings algorithmROC curveposterior consistencybinormal modelordinal category likelihood

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Cites Work

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• Bayesian ROC curve estimation under binormality using a rank likelihood
• The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
• Statistical Methods in Diagnostic Medicine
• Two transformation models for estimating an ROC curve derived from continuous data
• An Interpretation for the ROC Curve and Inference Using GLM Procedures
• Bayesian Analysis of Binary and Polychotomous Response Data
• Semi-parametric estimation of the binormal ROC curve for a continuous diagnostic test
• Distribution-free ROC analysis using binary regression techniques
• Fundamentals of Nonparametric Bayesian Inference

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