Expert opinion as priors for random effects in Bayesian prediction models: Subclinical ketosis in dairy cows as an example.
Random effects regression models are routinely used for clustered data in etiological and intervention research. However, in prediction models, the random effects are either neglected or conventionally substituted with zero for new clusters after model development. In this study, we applied a Bayesi...
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| Main Authors: | Haifang Ni, Irene Klugkist, Saskia van der Drift, Ruurd Jorritsma, Gerrit Hooijer, Mirjam Nielen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0244752&type=printable |
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