A pseudo likelihood approach to analyze rate difference of binary response data in longitudinal factorial studies

DOI10.1080/03610918.2017.1337138OpenAlexW2621537789MaRDI QIDQ5084987

Chunpeng Fan

Publication date: 29 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2017.1337138

zbMATH Keywords

missing at randommissing completely at randomMARMCARbivariate binary datatrivariate binary data

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Point estimation (62F10)

Uses Software

• SAS
• SAS/STAT

Cites Work

• Unnamed Item
• Longitudinal data analysis using generalized linear models
• Asymptotics of estimating equations under natural conditions.
• Semiparametric Estimating Equations Inference with Nonignorable Nonresponse
• Consistency of Normal-Distribution-Based Pseudo Maximum Likelihood Estimates When Data Are Missing at Random
• Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
• Inference and missing data
• Modelling multivariate binary data with alternating logistic regressions
• Goodness‐of‐fit Tests for GEE with Correlated Binary Data
• Mathematical Statistics
• A likelihood-based method for analysing longitudinal binary responses
• On analysis of binary response data in longitudinal factorial studies
• Empirical likelihood for estimating equations with nonignorably missing data

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