Nonparametric analysis of clustered data in diagnostic trials: estimation problems in small sample sizes

DOI10.1016/j.csda.2008.08.006zbMath1452.62820OpenAlexW1978651257MaRDI QIDQ961179

Frank Konietschke, Edgar Brunner

Publication date: 30 March 2010

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

Full work available at URL: https://doi.org/10.1016/j.csda.2008.08.006

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (6)

Meta‐analysis of diagnostic accuracy studies with multiple thresholds: Comparison of different approaches ⋮ Ranking procedures for matched pairs with missing data -- asymptotic theory and a small sample approximation ⋮ The nonparametric Behrens–Fisher problem in partially complete clustered data ⋮ Editorial: Computational statistics within clinical research ⋮ Permutation-based inference for the AUC: A unified approach for continuous and discontinuous data ⋮ Weighted rank tests and Hodges–Lehmann estimates for the multivariate two-sample location problem with clustered data

Cites Work

• Unnamed Item
• Unnamed Item
• Rank methods for the analysis of clustered data in diagnostic trials
• Rank-score tests in factorial designs with repeated measures
• The multivariate nonparametric Behrens-Fisher problem
• A Class of Distribution-Free Two-Sample Tests Based on Placements
• Nonparametric Analysis of Clustered ROC Curve Data
• Nonparametric methods for analysing the accuracy of diagnostic tests with multiple readers

This page was built for publication: Nonparametric analysis of clustered data in diagnostic trials: estimation problems in small sample sizes