Multi-model inference using mixed effects from a linear regression based genetic algorithm

BACKGROUND: Different high-dimensional regression methodologies exist for the selection of variables to predict a continuous variable. To improve the variable selection in case clustered observations are present in the training data, an extension towards mixed-effects modeling (MM) is requested, but...

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Detalles Bibliográficos
Autores principales: Van der Borght, Koen, Verbeke, Geert, van Vlijmen, Herman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3987104/
https://www.ncbi.nlm.nih.gov/pubmed/24669828
http://dx.doi.org/10.1186/1471-2105-15-88

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3987104/
https://www.ncbi.nlm.nih.gov/pubmed/24669828
http://dx.doi.org/10.1186/1471-2105-15-88

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