Identifying intraclass correlations necessitating hierarchical modeling

DOI10.1080/02664763.2017.1288203OpenAlexW2586580663MaRDI QIDQ5139022

Kyle M. Irimata, Jeffrey R. Wilson

Publication date: 4 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2017.1288203

zbMATH Keywords

overdispersiongeneralized linear mixed modelsintraclass correlationhierarchical binary datathree-level nested

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Point estimation (62F10)

Related Items (1)

Bootstrap ICC estimators in analysis of small clustered binary data

Uses Software

• PROC NLMIXED
• glimmix
• PearsonT

Cites Work

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• Longitudinal data analysis using generalized linear models
• A guide for multilevel modeling of dyadic data with binary outcomes using SAS PROC NLMIXED
• Estimating Pearson's correlation coefficient with bootstrap confidence interval from serially dependent time series
• Modelling and generating correlated binary variables
• 2 x 2 Kappa Coefficients: Measures of Agreement or Association
• Monte Carlo Comparison of ANOVA, MIVQUE, REML, and ML Estimators of Variance Components
• Confidence Interval Estimation of the Intraclass Correlation Coefficient for Binary Outcome Data
• A Review of Inference Procedures for the Intraclass Correlation Coefficient in the One-Way Random Effects Model
• An extended quasi-likelihood function
• Estimating Intraclass Correlation for Binary Data
• Intraclass Correlation for Two-by-Two Tables under Three Sampling Designs
• The Estimation of Intraclass Correlation in the Analysis of Family Data

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