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Mitigating Bias in Generalized Linear Mixed Models: The Case for Bayesian Nonparametrics
Generalized linear mixed models are a common statistical tool for the analysis of clustered or longitudinal data where correlation is accounted for through cluster-specific random effects. In practice, the distribution of the random effects is typically taken to be a Normal distribution, although if...
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| Pubblicato in: | Stat Sci |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5624537/ https://ncbi.nlm.nih.gov/pubmed/28979066 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/15-STS533 |
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