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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Autores principales: Colin Griesbach, Andreas Groll, Elisabeth Bergherr
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/4b52185acd62433d8f95dc84ac26e9e0
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