A modified area under the ROC curve and its application to marker selection and classification

DOI10.1016/J.JKSS.2013.05.003zbMath1306.62149OpenAlexW2069852118MaRDI QIDQ397196

Eunsik Park, WenBao Yu, Yuan-chin Ivan Chang

Publication date: 11 August 2014

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2013.05.003

zbMATH Keywords

classificationAUCROC curvemarker selectionmAUCpAUC

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

Two simple algorithms on linear combination of multiple biomarkers to maximize partial area under the ROC curve

Uses Software

• LASSO

Cites Work

• The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
• Partial AUC Estimation and Regression
• Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
• Marker selection via maximizing the partial area under the ROC curve of linear risk scores
• Linear Combinations of Multiple Diagnostic Markers
• Combining diagnostic test results to increase accuracy
• Exact Bootstrap Variances of the Area Under ROC Curve

This page was built for publication: A modified area under the ROC curve and its application to marker selection and classification