Rank‐based inference for covariate and group effects in clustered data in presence of informative intra‐cluster group size
Author:
Affiliation:
1. Department of Biostatistics and Bioinformatics Duke University Durham North Carolina
2. Department of Biostatistics University of Florida Gainesville Florida
Funder
National Institutes of Health
Publisher
Wiley
Subject
Statistics and Probability,Epidemiology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.7979
Reference21 articles.
1. Incorporation of Clustering Effects for the Wilcoxon Rank Sum Test: A Large‐Sample Approach
2. The Wilcoxon Signed Rank Test for Paired Comparisons of Clustered Data
3. Rank-Sum Tests for Clustered Data
4. A rank-sum test for clustered data when the number of subjects in a group within a cluster is informative
5. Informative Cluster Sizes for Subcluster-Level Covariates and Weighted Generalized Estimating Equations
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