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Joint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects Models
It is of great practical interest to simultaneously identify the important predictors that correspond to both the fixed and random effects components in a linear mixed-effects model. Typical approaches perform selection separately on each of the fixed and random effect components. However, changing...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2010
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2895687/ https://ncbi.nlm.nih.gov/pubmed/20163404 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2010.01391.x |
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