Combination of multiple functional markers to improve diagnostic accuracy

DOI10.1080/02664763.2020.1796945OpenAlexW3044905087MaRDI QIDQ5861272

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Publication date: 4 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2020.1796945

zbMATH Keywords

dimension reductionreceiver operating characteristic curvefunctional principal component analysisdiagnostic accuracymultiple functional markers

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

• Unnamed Item
• Uniform convergence rates for nonparametric regression and principal component analysis in functional/longitudinal data
• The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
• Solving a class of linearly constrained indefinite quadratic problems by DC algorithms
• Empirical likelihood ratio confidence interval estimation of best linear combinations of biomarkers
• Functional covariate-adjusted partial area under the specificity-ROC curve with an application to metabolic syndrome diagnosis
• Minimum clinically important difference in medical studies
• Linear Combinations of Multiple Diagnostic Markers
• Combining diagnostic test results to increase accuracy
• Note on distribution-free estimation of maximum linear separation of two multivariate distributions
• Functional Data Analysis for Sparse Longitudinal Data

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