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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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Autores principales: Bondell, Howard D., Krishna, Arun, Ghosh, Sujit K.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2010
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Acceso en línea: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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