Estimation of the ROC curve from the Lehmann family

DOI10.1016/J.CSDA.2019.106820OpenAlexW2966306343MaRDI QIDQ2008109

Rafał Topolnicki, Alicja Jokiel-Rokita

Publication date: 22 November 2019

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

Full work available at URL: https://doi.org/10.1016/j.csda.2019.106820

zbMATH Keywords

semiparametric estimationarea under the curve (AUC)receiver operating characteristic (ROC) curvebi-Weibull ROC curve

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 (1)

Minimum distance estimation of the Lehmann receiver operating characteristic curve

Uses Software

• pROC

Cites Work

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• Improving an estimator of Hsieh and Turnbull for the binormal ROC curve
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• Minimum distance estimation of the binormal ROC curve
• Using logistic regression procedures for estimating receiver operating characteristic curves
• Proportional hazards tests and diagnostics based on weighted residuals
• Semiparametric Receiver Operating Characteristic Analysis to Evaluate Biomarkers for Disease
• Two transformation models for estimating an ROC curve derived from continuous data
• Theory & Methods: Semi‐parametric estimation of ROC curves based on binomial regression modelling
• Minimum‐Norm Estimation for Binormal Receiver Operating Characteristic (ROC) Curves
• Semi-parametric estimation of the binormal ROC curve for a continuous diagnostic test
• The Power of Rank Tests

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