Nonparametric estimation of the threshold at an operating point on the ROC curve

DOI10.1016/j.csda.2009.06.006zbMath1453.62259OpenAlexW2057669721MaRDI QIDQ961940

Robert F. Wagner, Subrata Kundu, Waleed A. Yousef

Publication date: 1 April 2010

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

Full work available at URL: https://doi.org/10.1016/j.csda.2009.06.006

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (4)

Three-group ROC analysis: a nonparametric predictive approach ⋮ Area under the ROC curve comparison in the presence of missing data ⋮ Assessing classifiers in terms of the partial area under the ROC curve ⋮ Cumulative/dynamic ROC curve estimation

Uses Software

• UCI-ml

Cites Work

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• Asymptotic normality of the kernel quantile estimator
• ``Proper binormal ROC curves: Theory and maximum-likelihood estimation
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• Kernel estimators of the ROC curve are better than empirical.
• Using logistic regression procedures for estimating receiver operating characteristic curves
• Approximation Theorems of Mathematical Statistics
• A new distribution-free quantile estimator
• A Probability Distribution and Its Uses in Fitting Data
• An Interpretation for the ROC Curve and Inference Using GLM Procedures
• Testing Statistical Hypotheses
• A Note on Quantiles in Large Samples
• The First-Median Test: A Two-Sided Version of the Control Median Test
• A New Proof of the Bahadur Representation of Quantiles and an Application

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