Bounding sample size projections for the area under a ROC curve

DOI10.1016/j.jspi.2007.09.015zbMath1156.62083OpenAlexW2060139562WikidataQ43193838 ScholiaQ43193838MaRDI QIDQ1007451

Jeffrey D. Blume

Publication date: 20 March 2009

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2631183

zbMATH Keywords

boundsANOVAarea under the curve (AUC)receiver operating characteristic (ROC) curvemultireader study

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Analysis of variance and covariance (ANOVA) (62J10)

Related Items

Comparison of adjustment methods for stratified two-sample tests in the context of ROC analysis, Consistency of non parametric estimators of the area under the ROC curve

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
• ``Student and small-sample theory.
• Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
• Bounds for the Variance of the Mann-Whitney Statistic
• The optimal ratio of cases to controls for estimating the classification accuracy of a biomarker
• Statistical Inference for Pr(Y < X): The Normal Case
• The estimation ofP(x < Y) for distributions useful in life testing
• Stratification in Nonparametric ROC Studies
• Nonparametric Upper Confidence Bounds for Pr{Y < X} and Confidence Limits for Pr{Y < X} When X and Y are Normal
• Estimation of the Probability that Y < X
• Consistency and Unbiasedness of Certain Nonparametric Tests
• The Treatment of Ties in Some Nonparametric Tests