The effect of number of clusters and cluster size on statistical power and Type I error rates when testing random effects variance components in multilevel linear and logistic regression models

DOI10.1080/00949655.2018.1504945OpenAlexW2885070181WikidataQ129406782 ScholiaQ129406782MaRDI QIDQ4960751

George Leckie, Peter C. Austin

Publication date: 23 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2018.1504945

zbMATH Keywords

variance componentshierarchical modelmultilevel analysismultilevel modelstatistical power

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Bootstrapped inference for variance parameters, measures of heterogeneity and random effects in multilevel logistic regression models

Cites Work

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• Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
• A Note on Permutation Tests for Variance Components in Multilevel Generalized Linear Mixed Models

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