Testing the homogeneity of proportions for clustered binary data without knowing the correlation structure

DOI10.1080/02664763.2015.1005062OpenAlexW2021693236MaRDI QIDQ5130286

Tsung-Shan Tsou, Hsiao-Yun Liu

Publication date: 4 November 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2015.1005062

zbMATH Keywords

model misspecificationbinomial modelscore statisticBartlett's second identitycluster binary data

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Longitudinal data analysis using generalized linear models
• Analysis of proportions for clustered binary data in the presence of unequal dispersions
• Estimating intraclass correlation for binary data using extended quasi-likelihood
• The Use of a Correlated Binomial Model for the Analysis of Certain Toxicological Experiments
• 394: The Analysis of Binary Responses from Toxicological Experiments Involving Reproduction and Teratogenicity
• Analysis of Proportions in the Presence of over-/under-Dispersion
• APPROXIMATE CONFIDENCE INTERVALS

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