A general class of signed-rank tests for clustered data when the cluster size is potentially informative

DOI10.1080/10485252.2012.672647zbMath1284.62276OpenAlexW2013305025WikidataQ30573780 ScholiaQ30573780MaRDI QIDQ3145399

Somnath Datta, Jaakko Nevalainen, Hannu Oja

Publication date: 20 December 2012

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

Full work available at URL: http://europepmc.org/articles/pmc3467023

zbMATH Keywords

symmetryclustered datainformative cluster sizenonparametric testssigned-rank test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items

Quantile inference based on clustered data, Robust estimation of marginal regression parameters in clustered data, 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

Cites Work

• Unnamed Item
• Marginal Analyses of Clustered Data When Cluster Size Is Informative
• A Signed-Rank Test for Clustered Data
• A weighted multivariate signed-rank test for cluster-correlated data
• Rank methods for the analysis of clustered data in diagnostic trials
• A weighted spatial median for clustered data
• Within-cluster resampling
• A general class of signed-rank tests for clustered data when the cluster size is potentially informative
• Incorporation of Clustering Effects for the Wilcoxon Rank Sum Test: A Large‐Sample Approach
• An affine‐invariant multivariate sign test for cluster correlated data
• On the multivariate spatial median for clustered data
• A weighted multivariate sign test for cluster-correlated data
• The Wilcoxon Signed Rank Test for Paired Comparisons of Clustered Data
• Rank-Sum Tests for Clustered Data