ON PSEUDO-LIKELIHOOD INFERENCE IN THE BINARY LONGITUDINAL MIXED MODEL

DOI10.1081/STA-120002855zbMath1008.62551OpenAlexW2043862209MaRDI QIDQ4540728

Sanjoy Kumar Sinha, Brajendra Chandra Sutradhar

Publication date: 28 July 2002

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

Full work available at URL: https://doi.org/10.1081/sta-120002855

Mathematics Subject Classification ID

Point estimation (62F10) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (3)

Analyzing multivariate longitudinal binary data: A generalized estimating equations approach ⋮ Generalized estimating equations for longitudinal mixed Rasch model ⋮ Robust inference in generalized linear models for longitudinal data

Cites Work

• Longitudinal data analysis using generalized linear models
• Correlated Binary Regression with Covariates Specific to Each Binary Observation
• Estimating Equations for Parameters in Means and Covariances of Multivariate Discrete and Continuous Responses
• A regression model for time series of counts
• Consistent Estimators in Generalized Linear Mixed Models
• Miscellanea. On the efficiency of regression estimators in generalised linear models for longitudinal data
• Analysing exponential family based messy data
• Variance component testing in generalised linear models with random effects
• Maximum Likelihood Algorithms for Generalized Linear Mixed Models
• On approximate likelihood inference in a poisson mixed model
• On autocorrelation in a Poisson regression model
• Marginally Specified Logistic‐Normal Models for Longitudinal Binary Data
• Approximate Inference in Generalized Linear Mixed Models
• Bias correction in generalised linear mixed models with a single component of dispersion
• A higher-order approximation to likelihood inference in the Poisson mixed model

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