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Sparse Estimation Strategies in Linear Mixed Effect Models for High-Dimensional Data Application
In a host of business applications, biomedical and epidemiological studies, the problem of multicollinearity among predictor variables is a frequent issue in longitudinal data analysis for linear mixed models (LMM). We consider an efficient estimation strategy for high-dimensional data application,...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534815/ https://www.ncbi.nlm.nih.gov/pubmed/34682072 http://dx.doi.org/10.3390/e23101348 |