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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2014
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| 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 |