Extending the DeLong algorithm for comparing areas under correlated receiver operating characteristic curves with missing data

DOI10.1002/sim.10172MaRDI QIDQ6656314

Leonardo Guizzetti, Joshua Zou, Di Shu, Guang Yong Zou, Lily Zou, Yun Hee Choi

Publication date: 2 January 2025

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

zbMATH Keywords

concordanceranksmissing at randomnonparametricmixed modelsdiagnostic testsbiomarkerseffect sizeWilcoxon-Mann-Whitney testresponsivenessBehrens-Fisher

Mathematics Subject Classification ID

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

Cites Work

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• The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
• The effect of misspecifying the random-effects distribution in linear mixed models for longitudinal data
• The multivariate nonparametric Behrens-Fisher problem
• Robust Estimation of Area Under ROC Curve Using Auxiliary Variables in the Presence of Missing Biomarker Values
• Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
• On Some Convergence Properties of UStatistics
• Statistical Analysis with Missing Data, Third Edition
• Bias reduction of maximum likelihood estimates
• Nonparametric methods for analysing the accuracy of diagnostic tests with multiple readers
• A Class of Statistics with Asymptotically Normal Distribution
• Moving to a World Beyond “p < 0.05”
• Confidence interval estimation for treatment effects in cluster randomization trials based on ranks

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