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Journal of Nonparametric Statistics Volume 24, 2012 - Issue 3
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Original Articles

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

Somnath Datta Department of Bioinformatics and Biostatistics, University of Louisville, KY, 40292, USACorrespondence[email protected]
,
Jaakko Nevalainen Department of Mathematics and Statistics, University of Turku, Turku, Finland
&
Hannu Oja School of Health Sciences, University of Tampere, Tampere, Finland
Pages 797-808 | Received 13 Jun 2011, Accepted 22 Feb 2012, Published online: 01 May 2012

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Riina Lemponen, Denis Larocque, Jaakko Nevalainen & Hannu Oja. (2012) Weighted rank tests and Hodges–Lehmann estimates for the multivariate two-sample location problem with clustered data. Journal of Nonparametric Statistics 24:4, pages 977-991.
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Articles from other publishers (5)

Sandipan Dutta. (2022) Robust Testing of Paired Outcomes Incorporating Covariate Effects in Clustered Data with Informative Cluster Size. Stats 5:4, pages 1321-1333.
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Sandipan Dutta & Somnath Datta. (2018) Rank‐based inference for covariate and group effects in clustered data in presence of informative intra‐cluster group size. Statistics in Medicine 37:30, pages 4807-4822.
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Omer Ozturk & Asuman Turkmen. (2016) Quantile inference based on clustered data. Metrika 79:7, pages 867-893.
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Shaun SeamanMenelaos PavlouAndrew Copas. (2014) Review of methods for handling confounding by cluster and informative cluster size in clustered data. Statistics in Medicine 33:30, pages 5371-5387.
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Somnath Datta & James D Beck. (2014) Robust estimation of marginal regression parameters in clustered data. Statistical Modelling 14:6, pages 489-501.
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