A Pairwise Likelihood Procedure for Analyzing Exchangeable Binary Data with Random Cluster Sizes

DOI10.1080/03610920802255880zbMath1159.62312OpenAlexW2127946726MaRDI QIDQ3622075

Wen-Qing Ma, Hui-Xiu Zhao

Publication date: 23 April 2009

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920802255880

zbMATH Keywords

generalized estimating equationpairwise likelihood

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

The AU algorithm for estimating equations in the presence of missing data ⋮ An approximately optimal non-parametric procedure for analyzing exchangeable binary data with random cluster sizes

Cites Work

• A pairwise likelihood approach to analyzing correlated binary data
• Likelihood Inference for Exchangeable Binary Data with Varying Cluster Sizes
• Locally Optimal Tests for Multiparameter Hypotheses
• Quasi-Likelihood and Optimal Estimation, Correspondent Paper
• 394: The Analysis of Binary Responses from Toxicological Experiments Involving Reproduction and Teratogenicity
• Estimating Variance Functions in Developmental Toxicity Studies
• Asymptotic properties of moment estimators for overdispersed counts and proportions
• A Full Likelihood Procedure for Analysing Exchangable Binary Data
• A Saturated Model for Analyzing Exchangeable Binary Data: Applications to Clinical and Developmental Toxicity Studies

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