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Using Akaike's information theoretic criterion in mixed-effects modeling of pharmacokinetic data: a simulation study
Akaike's information theoretic criterion for model discrimination (AIC) is often stated to "overfit", i.e., it selects models with a higher dimension than the dimension of the model that generated the data. However, with experimental pharmacokinetic data it may not be possible to iden...
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| Publicado no: | F1000Res |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
F1000Research
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4670010/ https://ncbi.nlm.nih.gov/pubmed/26673949 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12688/f1000research.2-71.v2 |
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