Rank methods for the analysis of clustered data in diagnostic trials

DOI10.1016/j.csda.2006.05.023zbMath1162.62438OpenAlexW1989349962MaRDI QIDQ1020172

Edgar Brunner, Carola Werner

Publication date: 29 May 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.05.023

zbMATH Keywords

AUCROC curveANOVA-type statisticmulti-modality designmulti-reader designmultivariate nonparametric Behrens-Fisher problem

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)

Related Items (5)

Iterated Reweighted Rank-Based Estimates for GEE Models ⋮ Editorial: Computational statistics within clinical research ⋮ Nonparametric analysis of clustered data in diagnostic trials: estimation problems in small sample sizes ⋮ A general class of signed-rank tests for clustered data when the cluster size is potentially informative ⋮ Weighted rank tests and Hodges–Lehmann estimates for the multivariate two-sample location problem with clustered data

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