Bootstrap ICC estimators in analysis of small clustered binary data
From MaRDI portal
Publication:2282601
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
Computational methods for problems pertaining to statistics (62-08) Generalized linear models (logistic models) (62J12)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- 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
This page was built for publication: Bootstrap ICC estimators in analysis of small clustered binary data