An iterative algorithm for joint covariate and random effect selection in mixed effects models
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Publication:6636052
DOI10.1515/IJB-2019-0082MaRDI QIDQ6636052
M. Delattre, Marie-Anne Poursat
Publication date: 12 November 2024
Published in: The International Journal of Biostatistics (Search for Journal in Brave)
Bayesian information criterionnonlinear mixed effects modelsstepwise procedurejoint covariate and random effects selection
Cites Work
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- Asymptotic distribution of likelihood ratio test statistics for variance components in nonlinear mixed effects models
- Maximum likelihood estimation in discrete mixed hidden Markov models using the SAEM algorithm
- Random effects selection in generalized linear mixed models via shrinkage penalty function
- An introduction to the Bayes information criterion: theoretical foundations and interpretation
- Variable selection in linear mixed effects models
- Convergence rate of MLE in generalized linear and nonlinear mixed-effects models: Theory and applications
- A note on BIC in mixed-effects models
- Joint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects Models
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