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Addressing cluster-constant covariates in mixed effects models via likelihood-based boosting techniques
Boosting techniques from the field of statistical learning have grown to be a popular tool for estimating and selecting predictor effects in various regression models and can roughly be separated in two general approaches, namely gradient boosting and likelihood-based boosting. An extensive framewor...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270154/ https://www.ncbi.nlm.nih.gov/pubmed/34242316 http://dx.doi.org/10.1371/journal.pone.0254178 |