Evans, Neil D., Cheung, S. Y. Amy and Yates, James W. T. (2018) Structural identifiability for mathematical pharmacology : models of myelosuppression. Journal of Pharmacokinetics and Pharmacodynamics, 45 . pp. 79-90. doi:10.1007/s10928-018-9569-x ISSN 1567-567X.
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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.
| Item Type: | Journal Article |
|---|---|
| Subjects: | R Medicine > RM Therapeutics. Pharmacology |
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering |
| Library of Congress Subject Headings (LCSH): | Pharmacology -- Mathematical models, Drug development -- Mathematical models, Pharmacokinetics, Drugs -- Physiological effect |
| Journal or Publication Title: | Journal of Pharmacokinetics and Pharmacodynamics |
| Publisher: | Springer New York LLC |
| ISSN: | 1567-567X |
| Official Date: | 2 February 2018 |
| Dates: | Date Event 2 February 2018 Published 3 January 2018 Accepted |
| Volume: | 45 |
| Page Range: | pp. 79-90 |
| DOI: | 10.1007/s10928-018-9569-x |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Access rights to Published version: | Restricted or Subscription Access |
| Date of first compliant deposit: | 15 February 2018 |
| Date of first compliant Open Access: | 2 February 2019 |
| URI: | https://wrap.warwick.ac.uk/98808/ |
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