Developing biomarker combinations in multicenter studies via direct maximization and penalization

DOI10.1002/SIM.8673zbMATH Open1546.62533MaRDI QIDQ6627627

Chirag R. Parikh, Author name not available (Why is that?), Author name not available (Why is that?)

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

penalizationmulticenterbiomarker combinationsadjusted AUC

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Adjusting for covariate effects on classification accuracy using the covariate-adjusted receiver operating characteristic curve
• Combining Several Screening Tests: Optimality of the Risk Score
• Selection and combination of biomarkers using ROC method for disease classification and prediction
• Overestimation of the receiver operating characteristic curve for logistic regression
• Combining diagnostic test results to increase accuracy
• Combining Multiple Markers for Classification Using ROC
• Combining Predictors for Classification Using the Area under the Receiver Operating Characteristic Curve
• Regression modeling strategies. With applications to linear models, logistic regression and survival analysis

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