Combining biomarkers to detect disease with application to prostate cancer

DOI10.1093/biostatistics/4.4.523zbMath1197.62145OpenAlexW2137637554WikidataQ47444967 ScholiaQ47444967MaRDI QIDQ5701218

Margaret S. Pepe, Charles Kooperberg, Ruth Etzioni, Peter H. Gann, Robert J. Smith?

Publication date: 2 November 2005

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/4.4.523

zbMATH Keywords

ClassificationAUCROCLogic regression

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03)

Related Items (9)

Exploring interactions in high-dimensional genomic data: an overview of logic regression, with applications ⋮ A serial risk score approach to disease classification that accounts for accuracy and cost ⋮ Combining biomarkers to optimize patient treatment recommendations ⋮ Combining Multiple Biomarker Models in Logistic Regression ⋮ Detecting diagnostic accuracy of two biomarkers through a bivariate log-normal ROC curve ⋮ Bivariate Marker Measurements and ROC Analysis ⋮ ROC analysis for multiple markers with tree-based classification ⋮ Application of the Time‐Dependent ROC Curves for Prognostic Accuracy with Multiple Biomarkers ⋮ ROC Analysis for Multiple Markers with Tree-Based Classification

This page was built for publication: Combining biomarkers to detect disease with application to prostate cancer