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The effect of Fisher information matrix approximation methods in population optimal design calculations
With the increasing popularity of optimal design in drug development it is important to understand how the approximations and implementations of the Fisher information matrix (FIM) affect the resulting optimal designs. The aim of this work was to investigate the impact on design performance when usi...
Autores principales: | Strömberg, Eric A., Nyberg, Joakim, Hooker, Andrew C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5110617/ https://www.ncbi.nlm.nih.gov/pubmed/27804003 http://dx.doi.org/10.1007/s10928-016-9499-4 |
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