Bootstrap ICC estimators in analysis of small clustered binary data

DOI10.1007/s00180-019-00885-zzbMath1505.62415OpenAlexW2938972337WikidataQ128190570 ScholiaQ128190570MaRDI QIDQ2282601

Bei Wang, Yi Zheng, Kyle M. Irimata, Jeffrey R. Wilson

Publication date: 8 January 2020

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-019-00885-z

zbMATH Keywords

generalized linear mixed modelsmall sample inferenceresampling scheme

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Generalized linear models (logistic models) (62J12)

Uses Software

• PROC NLMIXED
• PearsonT
• bootlib

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
• Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. With a comment by J. A. Hartigan and a rejoinder by the authors
• Inherited partial deficiency of the PGM₁gene: biochemical and densitometric studies
• 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
• Approximate Inference in Generalized Linear Mixed Models
• Bootstrapping Clustered Data
• Nonparametric bootstrapping for hierarchical data
• Identifying intraclass correlations necessitating hierarchical modeling

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