Bayesian semiparametric ROC surface estimation under verification bias

DOI10.1016/j.csda.2018.09.003OpenAlexW2891032350WikidataQ129208281 ScholiaQ129208281MaRDI QIDQ1727893

Rui Zhu, Subhashis Ghosal

Publication date: 21 February 2019

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2018.09.003

zbMATH Keywords

ROC surfaceMAR assumptiontrinormal modelverification bias correction

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Bayesian inference (62F15)

Related Items (1)

Bayesian analysis of nonparanormal graphical models using rank-likelihood

Cites Work

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• Estimation of the volume under the ROC surface with three ordinal diagnostic categories
• Bias-corrected methods for estimating the receiver operating characteristic surface of continuous diagnostic tests
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• Nonparametric and semiparametric estimation of the receiver operating characteristic curve
• Multiple-event forced-choice tasks in the theory of signal detectability
• Nonparametric Bayesian estimation of the three‐way receiver operating characteristic surface
• The generalized Lehmann ROC curves: Lehmann family of ROC surfaces
• Fundamentals of Nonparametric Bayesian Inference
• Assessing Accuracy of a Continuous Screening Test in the Presence of Verification Bias

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