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Modeling and Simulation as a Tool to Bridge Efficacy and Safety Data in Special Populations
The registration and approval of novel medicines have traditionally been based on evidence arising from large prospective trials. Such an approach is often not possible or unsuitable to evaluate the benefit‐risk balance in special populations (e.g., children, ethnic groups, rare diseases). Inference...
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Published in: | CPT: pharmacometrics and systems pharmacology 2013-02, Vol.2 (2), p.1-4 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The registration and approval of novel medicines have traditionally been based on evidence arising from large prospective trials. Such an approach is often not possible or unsuitable to evaluate the benefit‐risk balance in special populations (e.g., children, ethnic groups, rare diseases). Inferences by modeling and simulation can play a major role in evidence synthesis. A framework is proposed that promotes its acceptability and the basis for decision making during development, registration, and therapeutic use of drugs.
CPT: Pharmacometrics & Systems Pharmacology (2013) 2, e28; doi:10.1038/psp.2013.6; advance online publication 27 February 2013 |
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ISSN: | 2163-8306 2163-8306 |
DOI: | 10.1038/psp.2013.6 |