Variable selection in ROC regression

DOI10.1155/2013/436493zbMath1307.92025OpenAlexW1972000232WikidataQ42738259 ScholiaQ42738259MaRDI QIDQ2262193

Binhuan Wang

Publication date: 16 March 2015

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/436493

Mathematics Subject Classification ID

General biostatistics (92B15)

Cites Work

• The Adaptive Lasso and Its Oracle Properties
• Comparative study of ROC regression techniques -- applications for the computer-aided diagnostic system in breast cancer detection
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• Heuristics of instability and stabilization in model selection
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• Can the strengths of AIC and BIC be shared? A conflict between model indentification and regression estimation
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Semiparametric Regression for the Area Under the Receiver Operating Characteristic Curve
• Frequentist Model Average Estimators
• The Focused Information Criterion
• Three Approaches to Regression Analysis of Receiver Operating Characteristic Curves for Continuous Test Results
• Regularization Parameter Selections via Generalized Information Criterion
• Model Selection and Estimation in Regression with Grouped Variables
• Tuning parameter selectors for the smoothly clipped absolute deviation method

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