Empirical likelihood for generalized linear models with longitudinal data
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Publication:6594968
DOI10.1007/s11424-023-2022-2zbMATH Open1544.62272MaRDI QIDQ6594968
Ming-Yao Ai, Chang-Ming Yin, Xiangshun Kong, Xia Chen
Publication date: 29 August 2024
Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)
longitudinal datageneralized linear modelempirical likelihood ratiomaximum empirical likelihood estimator
Cites Work
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- Longitudinal data analysis using generalized linear models
- Empirical likelihood for generalized linear models with missing responses
- Weighted empirical likelihood for generalized linear models with longitudinal data
- Empirical likelihood and general estimating equations
- Multivariate statistical modelling based on generalized linear models. With contributions by Wolfgang Hennevogl
- Asymptotics for generalized estimating equations with large cluster sizes
- Strong consistency of maximum quasi-likelihood estimators in generalized linear models with fixed and adaptive designs
- Empirical likelihood for generalized linear models with longitudinal data
- Empirical likelihood is Bartlett-correctable
- Asymptotic results with generalized estimating equations for longitudinal data
- GEE analysis of clustered binary data with diverging number of covariates
- Asymptotic normality of quasi maximum likelihood estimate in generalized linear models
- Penalized Generalized Estimating Equations for High-Dimensional Longitudinal Data Analysis
- Empirical likelihood for generalized linear models with fixed and adaptive designs
- Empirical likelihood ratio confidence intervals for a single functional
- A likelihood-based method for analysing longitudinal binary responses
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