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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| Main Authors: | , , |
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| Format: | article |
| Language: | EN |
| Published: |
Public Library of Science (PLoS)
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/4b52185acd62433d8f95dc84ac26e9e0 |
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