Identifying Combinations of Cancer Markers for Further Study as Triggers of Early Intervention

DOI10.1111/j.0006-341X.2000.01082.xzbMath1060.62578WikidataQ40733464 ScholiaQ40733464MaRDI QIDQ4670461

Stuart G. Baker

Publication date: 22 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

sensitivitybootstraplogistic regressiondiscriminationROC curvescreeningspecificityvalidationdiagnostic testsPSAearly detectionbiomarker

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (13)

The likelihood approach for the comparison of medical diagnostic system with multiple binary tests ⋮ Approximating the risk score for disease diagnosis using MARS ⋮ Obtaining optimal cutoff values for tree classifiers using multiple biomarkers ⋮ Combining biomarkers by maximizing the true positive rate for a fixed false positive rate ⋮ Bivariate Marker Measurements and ROC Analysis ⋮ Using the Optimal Robust Receiver Operating Characteristic (ROC) Curve for Predictive Genetic Tests ⋮ ROC analysis for multiple markers with tree-based classification ⋮ Combining Several Screening Tests: Optimality of the Risk Score ⋮ Partial AUC Estimation and Regression ⋮ Combining Predictors for Classification Using the Area under the Receiver Operating Characteristic Curve ⋮ Application of the Time‐Dependent ROC Curves for Prognostic Accuracy with Multiple Biomarkers ⋮ ROC Analysis for Multiple Markers with Tree-Based Classification ⋮ Combining binary and continuous biomarkers by maximizing the area under the receiver operating characteristic curve

Cites Work

• Evaluating the Age to Begin Periodic Breast Cancer Screening Using Data from a Few Regularly Scheduled Screenings
• Evaluating Multiple Diagnostic Tests with Partial Verification

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