Comparison of adjustment methods for stratified two-sample tests in the context of ROC analysis

DOI10.1002/BIMJ.201000251zbMath1242.62126OpenAlexW2105390602WikidataQ83541328 ScholiaQ83541328MaRDI QIDQ2896331

Ching-Ray Yu, Kelly H. Zou, Martin O. Carlsson

Publication date: 16 July 2012

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201000251

zbMATH Keywords

area under the curvetwo-sample testsmonotone transformationbinormal modelreceiver-operating characteristic analysis

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Monte Carlo methods (65C05) Testing in survival analysis and censored data (62N03)

Cites Work

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• Bounding sample size projections for the area under a ROC curve
• The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
• The statistical precision of medical screening procedures: application to polygraph and AIDS antibodies test data. With comments and a rejoinder by the author
• ROC Curves for Continuous Data
• Statistical Tests Based on Transformed Data
• Linear Statistical Inference and its Applications

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