An introduction to the full random effects model

The full random‐effects model (FREM) is a method for determining covariate effects in mixed‐effects models. Covariates are modeled as random variables, described by mean and variance. The method captures the covariate effects in estimated covariances between individual parameters and covariates. Thi...

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Detalles Bibliográficos
Autores principales: Yngman, Gunnar, Bjugård Nyberg, Henrik, Nyberg, Joakim, Jonsson, E. Niclas, Karlsson, Mats O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8846630/
https://www.ncbi.nlm.nih.gov/pubmed/34984855
http://dx.doi.org/10.1002/psp4.12741

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8846630/
https://www.ncbi.nlm.nih.gov/pubmed/34984855
http://dx.doi.org/10.1002/psp4.12741

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