Matching in Studies of Classification Accuracy: Implications for Analysis, Efficiency, and Assessment of Incremental Value

DOI10.1111/J.1541-0420.2007.00823.XzbMath1138.62074OpenAlexW2113582256WikidataQ51914571 ScholiaQ51914571MaRDI QIDQ5450447

Margaret S. Pepe, Unnamed Author

Publication date: 20 March 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2007.00823.x

zbMATH Keywords

sensitivitymatchingROC curvespecificitycase-controlepidemiologic association studies

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 (5)

Biomarker evaluation and comparison using the controls as a reference population ⋮ Estimating improvement in prediction with matched case-control designs ⋮ Estimating Improvement in Prediction with Matched Case-Control Designs ⋮ A Parametric ROC Model‐Based Approach for Evaluating the Predictiveness of Continuous Markers in Case–Control Studies ⋮ The covariate-adjusted ROC curve: the concept and its importance, review of inferential methods, and a new Bayesian estimator

Cites Work

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• Semiparametric Estimation of Regression Quantiles with Application to Standardizing Weight for Height and Age in US Children
• Three Approaches to Regression Analysis of Receiver Operating Characteristic Curves for Continuous Test Results
• An Interpretation for the ROC Curve and Inference Using GLM Procedures
• Distribution-free ROC analysis using binary regression techniques

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