Powerful nonparametric statistics to compare k independent ROC curves

DOI10.1080/02664763.2010.498504zbMath1218.62041OpenAlexW1977865663MaRDI QIDQ3019483

Pablo Martínez-Camblor, Carlos Carleos, Norberto Corral

Publication date: 28 July 2011

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2010.498504

zbMATH Keywords

receiver operating characteristic curvepermutation testarea under ROC curveVenkatraman test

Mathematics Subject Classification ID

Related Items (8)

A non-parametric test for comparing conditional ROC curves ⋮ A study of indices useful for the assessment of diagnostic markers in non-parametric ROC curve analysis ⋮ Area under the ROC curve comparison in the presence of missing data ⋮ A comparative study of methods for testing the equality of two or more ROC curves ⋮ Estimating the minority class proportion with the ROC curve using Military Personality Inventory data of the ROK Armed Forces ⋮ Standard statistical tools for the breed allocation problem ⋮ Cumulative/dynamic ROC curve estimation ⋮ Optimal classification scores based on multivariate marker transformations

Uses Software

• R

Cites Work

• Nonparametric estimation of conditional ROC curves: application to discrimination tasks in computerized detection of early breast cancer
• Nonparametric and semiparametric estimation of the receiver operating characteristic curve
• Confidence bands for ROC curves
• Testing the equality of diagnostic effectiveness of one measure with respect to k different features
• Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
• A family of nonparametric statistics for comparing diagnostic markers with paired or unpaired data
• A distribution-free procedure for comparing receiver operating characteristic curves for a paired experiment
• A Permutation Test to Compare Receiver Operating Characteristic Curves
• Semi-parametric estimation of the binormal ROC curve for a continuous diagnostic test
• K-Sample Analogues of the Kolmogorov-Smirnov and Cramer-V. Mises Tests
• Semi-parametric ROC regression analysis with placement values

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