Bootstrapping longitudinal data with multiple levels of variation

DOI10.1016/j.csda.2018.02.004zbMath1469.62124OpenAlexW2792496749WikidataQ130049211 ScholiaQ130049211MaRDI QIDQ1662863

P. Y. O'Shaughnessy, A. H. Welsh

Publication date: 20 August 2018

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

Full work available at URL: https://doi.org/10.1016/j.csda.2018.02.004

zbMATH Keywords

longitudinal dataquasi-likelihoodvariance estimationlinear mixed modelestimating equation bootstrap

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Estimation in multivariate analysis (62H12) Generalized linear models (logistic models) (62J12)

Related Items (1)

Bootstrap estimation of uncertainty in prediction for generalized linear mixed models

Cites Work

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• Fast and robust bootstrap
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• Bootstrapping data with multiple levels of variation
• Miscellanea. On the efficiency of regression estimators in generalised linear models for longitudinal data
• Robust Restricted Maximum Likelihood in Mixed Linear Models
• On the Accuracy of Efficiency of Estimating Equation Approach
• On the use of a working correlation matrix in using generalised linear models for repeated measures
• Bootstrapping Clustered Data
• Bootstrapping Robust Estimates for Clustered Data
• Unbiased Estimating Equations From Working Correlation Models for Irregularly Timed Repeated Measures

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