Structural identifiability for mathematical pharmacology: models of myelosuppression.
J Pharmacokinet Pharmacodyn
; 45(1): 79-90, 2018 Feb.
Article
em En
| MEDLINE
| ID: mdl-29396780
ABSTRACT
Structural identifiability is an often overlooked, but essential, prerequisite to the experiment design stage. The application of structural identifiability analysis to models of myelosuppression is used to demonstrate the importance of its considerations. It is shown that, under certain assumptions, these models are structurally identifiable and so drug and system specific parameters can truly be separated. Further it is shown via a meta-analysis of the literature that because of this the reported system parameter estimates for the "Friberg" or "Uppsala" model are consistent in the literature.
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Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Farmacologia
/
Medula Óssea
/
Anticorpos Antinucleares
/
Hematopoese
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Modelos Biológicos
Tipo de estudo:
Prognostic_studies
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Systematic_reviews
Limite:
Humans
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article