Optimal designs for multivariate logistic mixed models with longitudinal data
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Publication:5078284
DOI10.1080/03610926.2017.1419263OpenAlexW2783699167MaRDI QIDQ5078284
Rong-Xian Yue, Xiao-Dong Zhou, Hong-Yan Jiang
Publication date: 23 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2017.1419263
Cites Work
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- Longitudinal data analysis using generalized linear models
- Design issues for generalized linear models: a review
- The optimality of single-group designs for certain mixed models
- ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors
- Bayesian \(D\)-optimal designs for the two parameter logistic mixed effects model
- Simulation-based fully Bayesian experimental design for mixed effects models
- Models for discrete longitudinal data.
- A maximin criterion for the logistic random intercept model with covariates
- Optimal allocation of time points for the random effects model
- A Random-Effects Model for Multiple Characteristics With Possibly Missing Data
- Approximate Inference in Generalized Linear Mixed Models
- Multivariate skew-normal at linear mixed models for multi-outcome longitudinal data
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