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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...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2014
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3987104/ https://ncbi.nlm.nih.gov/pubmed/24669828 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-15-88 |
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