Efficient Estimation for Rank‐Based Regression with Clustered Data
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Publication:4911930
DOI10.1111/j.1541-0420.2012.01760.xzbMath1258.62050OpenAlexW2052276998WikidataQ34214775 ScholiaQ34214775MaRDI QIDQ4911930
Publication date: 20 March 2013
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1541-0420.2012.01760.x
efficiencyrank regressionrandom effectsworking covariance matrixcluster effectsexchangeable error structure
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Cites Work
- Longitudinal data analysis using generalized linear models
- 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
- On combining quasi-likelihood estimating functions
- Optimal estimating function for non-orthogonal model
- Generalized bootstrap for estimating equations
- Rank-based regression with repeated measurements data
- Incorporation of Clustering Effects for the Wilcoxon Rank Sum Test: A Large‐Sample Approach
- Estimation in a simple random effects model with nonnormal distributions
- Working correlation structure misspecification, estimation and covariate design: Implications for generalised estimating equations performance
- Between- and Within-Cluster Covariate Effects in the Analysis of Clustered Data
- Rank-Based Estimation and Associated Inferences for Linear Models With Cluster Correlated Errors
- Standard errors and covariance matrices for smoothed rank estimators
- A weighted multivariate sign test for cluster-correlated data
- Weighted Rank Regression for Clustered Data Analysis
- Rank-based regression for analysis of repeated measures
- Rank-Sum Tests for Clustered Data
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