Nonparametric Estimation and Hypothesis Testing on the Partial Area Under Receiver Operating Characteristic Curves

DOI10.1080/03610920500203786zbMath1072.62022OpenAlexW2013040627WikidataQ58322559 ScholiaQ58322559MaRDI QIDQ5697402

Aiyi Liu, Enrique F. Schisterman, Chengqing Wu

Publication date: 17 October 2005

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

Full work available at URL: https://doi.org/10.1080/03610920500203786

zbMATH Keywords

sensitivityspecificitybiomarkersMann-Whitney statisticsaccuracy of diagnostic tests

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (1)

Semi-parametric area under the curve regression method for diagnostic studies with ordinal data

Cites Work

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• The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
• ``Proper binormal ROC curves: Theory and maximum-likelihood estimation
• Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
• Semiparametric and parametric transformation models for comparing diagnostic markers with paired design
• A family of nonparametric statistics for comparing diagnostic markers with paired or unpaired data
• Asymptotic Statistics

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