Multi-category diagnostic accuracy based on logistic regression
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Publication:5880173
DOI10.1080/24754269.2017.1319105OpenAlexW2732705410MaRDI QIDQ5880173
Jason P. Fine, Michael J. Pencina, Jia-Liang Li
Publication date: 7 March 2023
Published in: Statistical Theory and Related Fields (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/24754269.2017.1319105
R softwaremulti-category classificationcorrect classification probabilityhypervolume under the ROC manifoldintegrated discrimination improvementnet reclassification improvementmarker evaluation
Uses Software
Cites Work
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- ROC analysis with multiple classes and multiple tests: methodology and its application in microarray studies
- HandTill2001
- The ROC manifold for classification systems
- Nonparametric and semiparametric estimation of the three way receiver operating characteristic surface
- Analysis of proposed three-class classification decision rules in terms of the ideal observer decision rule
- Axiomatic characterization of the quadratic scoring rule
- Empirical margin distributions and bounding the generalization error of combined classifiers
- Multiple-event forced-choice tasks in the theory of signal detectability
- 10.1162/15324430152733133
- COMBINING MULTIPLE MARKERS FOR MULTI-CATEGORY CLASSIFICATION: AN ROC SURFACE APPROACH
- On ROC analysis with nonbinary reference standard
- 10.1162/15324430260185628
- Youden Index and Associated Cut-Points for Three Ordinal Diagnostic Groups
- Comparison of ROC Umbrella Volumes with an Application to the Assessment of Lung Cancer Diagnostic Markers
- Coefficients of Determination in Logistic Regression Models—A New Proposal: The Coefficient of Discrimination
- Strictly Proper Scoring Rules, Prediction, and Estimation
- ROC Graphs for Assessing the Ability of a Diagnostic Marker to Detect Three Disease Classes with an Umbrella Ordering
- Multicategory Support Vector Machines
- Achieving near Perfect Classification for Functional Data
- A simple generalisation of the area under the ROC curve for multiple class classification problems
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