The intra-cluster correlation coefficient in cluster randomized trials: a review of definitions

DOI10.1111/j.1751-5823.2009.00092.xMaRDI QIDQ6573843

John B. Carlin, Sandra M. Eldridge, Obioha C. Ukoumunne

Publication date: 17 July 2024

Published in: International Statistical Review (Search for Journal in Brave)

zbMATH Keywords

cluster randomized trialsintra-cluster correlation coefficient

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Applications of statistics (62Pxx) Multivariate analysis (62Hxx)

Cites Work

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• Longitudinal data analysis using generalized linear models
• Cluster randomization trials in epidemiology: Theory and application
• On intra-class correlation coefficient estimation
• Correlated Binary Regression with Covariates Specific to Each Binary Observation
• A Review of Inference Procedures for the Intraclass Correlation Coefficient in the One-Way Random Effects Model
• General Derivation of Intraclass Correlation Coefficients
• A Comparison of Confidence Interval Methods for the Intraclass Correlation Coefficient
• Sibling and parent--offspring correlation estimation with variable family size.
• Estimating Intraclass Correlation for Binary Data
• The Intraclass Correlation Coefficient: Distribution-Free Definition and Test
• Intraclass Correlation for Two-by-Two Tables under Three Sampling Designs
• The Estimation of Intraclass Correlation in the Analysis of Family Data

Related Items (6)

Sample size requirements for testing treatment effect heterogeneity in cluster randomized trials with binary outcomes ⋮ Sample size estimation for stratified individual and cluster randomized trials with binary outcomes ⋮ Maintaining the validity of inference in small-sample stepped wedge cluster randomized trials with binary outcomes when using generalized estimating equations ⋮ When should matching be used in the design of cluster randomized trials? ⋮ Incorporating pragmatic features into power analysis for cluster randomized trials with a count outcome ⋮ Sample size requirements for detecting treatment effect heterogeneity in cluster randomized trials

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