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Conditional Akaike information under generalized linear and proportional hazards mixed models
We study model selection for clustered data, when the focus is on cluster specific inference. Such data are often modelled using random effects, and conditional Akaike information was proposed in Vaida & Blanchard (2005) and used to derive an information criterion under linear mixed models. Here...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2011
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3384357/ https://ncbi.nlm.nih.gov/pubmed/22822261 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asr023 |
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