Combining Multiple Markers for Classification Using ROC

DOI10.1111/j.1541-0420.2006.00731.xzbMath1128.62117OpenAlexW1973023227WikidataQ51906424 ScholiaQ51906424MaRDI QIDQ5434902

Shuangge Ma, Jian Huang

Publication date: 14 January 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2006.00731.x

zbMATH Keywords

classificationarea under the curvesigmoid approximation

Mathematics Subject Classification ID

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

Related Items (20)

Empirical likelihood ratio confidence interval estimation of best linear combinations of biomarkers ⋮ The likelihood approach for the comparison of medical diagnostic system with multiple binary tests ⋮ Grouped Variable Selection Using Area under the ROC with Imbalanced Data ⋮ Approximating the risk score for disease diagnosis using MARS ⋮ Semiparametric transformation models for multiple continuous biomarkers in ROC analysis ⋮ Unnamed Item ⋮ Sequence Robust Association Test for Familial Data ⋮ Combining biomarkers by maximizing the true positive rate for a fixed false positive rate ⋮ Nonparametric and semiparametric optimal transformations of markers ⋮ A step-by-step algorithm for combining diagnostic tests ⋮ A boosting method for maximization of the area under the ROC curve ⋮ Detecting diagnostic accuracy of two biomarkers through a bivariate log-normal ROC curve ⋮ Optimal Combinations of Diagnostic Tests Based on AUC ⋮ Penalised variable selection with U-estimates ⋮ Linear biomarker combination for constrained classification ⋮ Composite Estimating Equation Method for the Accelerated Failure Time Model with Length-biased Sampling Data ⋮ Selection and combination of biomarkers using ROC method for disease classification and prediction ⋮ Accounting for clinical covariates and interactions in ranking genomic markers using ROC ⋮ Prediction-Based Structured Variable Selection through the Receiver Operating Characteristic Curves ⋮ Optimal Composite Markers for Time-Dependent Receiver Operating Characteristic Curves with Censored Survival Data

Uses Software

• HandTill2001

Cites Work

• Unnamed Item
• Unnamed Item
• Non-parametric analysis of a generalized regression model. The maximum rank correlation estimator
• Rank regression for current-status data: Asymptotic normality
• Tree induction for probability-based ranking
• A simple resampling method by perturbing the minimand
• Multisurface method of pattern separation for medical diagnosis applied to breast cytology.
• The Limiting Distribution of the Maximum Rank Correlation Estimator
• Combining Predictors for Classification Using the Area under the Receiver Operating Characteristic Curve
• A simple generalisation of the area under the ROC curve for multiple class classification problems

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