Building confidence in quantitative systems pharmacology models: An engineer's guide to exploring the rationale in model design and development.
Timmis, Jonathan, Alden, K, Andrews, P, Clark, E, Nellis, A, Naylor, B, Coles, M and Kaye, P (2016) Building confidence in quantitative systems pharmacology models: An engineer's guide to exploring the rationale in model design and development. CPT: Pharmacometrics & Systems Pharmacology. ISSN 2163-8306
| Item Type: | Article |
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Abstract
This tutorial promotes good practice for exploring the rationale of systems pharmacology models. A safety systems engineering inspired notation approach provides much needed rigor and transparency in development and application of models for therapeutic discovery and design of intervention strategies. Structured arguments over a model's development, underpinning biological knowledge, and analyses of model behaviors are constructed to determine the confidence that a model is fit for the purpose for which it will be applied.
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| Depositing User: Jonathan Timmis |
Identifiers
| Item ID: 11570 |
| Identification Number: https://doi.org/10.1002/psp4.12157 |
| ISSN: 2163-8306 |
| URI: http://sure.sunderland.ac.uk/id/eprint/11570 | Official URL: https://ascpt.onlinelibrary.wiley.com/doi/epdf/10.... |
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| Date Deposited: 27 Feb 2020 14:20 |
| Last Modified: 30 Sep 2020 11:15 |
| Author: | Jonathan Timmis |
| Author: | K Alden |
| Author: | P Andrews |
| Author: | E Clark |
| Author: | A Nellis |
| Author: | B Naylor |
| Author: | M Coles |
| Author: | P Kaye |
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Computing > Data ScienceActions (login required)
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