Bivariate Marker Measurements and ROC Analysis

DOI10.1111/J.1541-0420.2012.01783.XzbMath1259.62105OpenAlexW1990176055WikidataQ36489979 ScholiaQ36489979MaRDI QIDQ4911946

Mei-Cheng Wang, Shanshan Li

Publication date: 20 March 2013

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3530667

zbMATH Keywords

U-statisticsconcordance probabilityprediction accuracytree-based classification

Mathematics Subject Classification ID

Density estimation (62G07) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (4)

Obtaining optimal cutoff values for tree classifiers using multiple biomarkers ⋮ Detecting diagnostic accuracy of two biomarkers through a bivariate log-normal ROC curve ⋮ ROC analysis for multiple markers with tree-based classification ⋮ ROC Analysis for Multiple Markers with Tree-Based Classification

Cites Work

• Unnamed Item
• The ROC region of a regression tree
• Combining Several Screening Tests: Optimality of the Risk Score
• Partial AUC Estimation and Regression
• 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
• Three Approaches to Regression Analysis of Receiver Operating Characteristic Curves for Continuous Test Results
• Time‐Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker
• Identifying Combinations of Cancer Markers for Further Study as Triggers of Early Intervention
• Combining biomarkers to detect disease with application to prostate cancer
• Survival Model Predictive Accuracy and ROC Curves
• A Class of Statistics with Asymptotically Normal Distribution

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