A solution for the most basic optimization problem associated with an ROC curve

DOI10.1177/0962280206070637zbMath1109.62103OpenAlexW2011368309WikidataQ79683209 ScholiaQ79683209MaRDI QIDQ3435345

Chap T. Le

Publication date: 26 April 2007

Published in: Statistical Methods in Medical Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/0962280206070637

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (6)

Smoothed empirical likelihood for the Youden index ⋮ Meta-analysis of diagnostic accuracy and ROC curves with covariate adjusted semiparametric mixtures ⋮ Likelihood-based clustering of meta-analytic SROC curves ⋮ ROC‐Based Utility Function Maximization for Feature Selection and Classification with Applications to High‐Dimensional Protease Data ⋮ Meta-analysis of diagnostic studies based upon SROC-curves: a mixed model approach using the Lehmann family ⋮ Modelling Stochastic Order in the Analysis of Receiver Operating Characteristic Data: Bayesian Non-Parametric Approaches

Cites Work

• The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
• 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
• Evaluation of Confounding Effects in ROC Studies

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