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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...
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| Publicat a: | PLoS One |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8270154/ https://ncbi.nlm.nih.gov/pubmed/34242316 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0254178 |
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