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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
F1000Research
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4670010/ https://www.ncbi.nlm.nih.gov/pubmed/26673949 http://dx.doi.org/10.12688/f1000research.2-71.v2 |