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British Journal of Clinical Pharmacology
Article . 2018 . Peer-reviewed
License: Wiley Online Library User Agreement
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The clinical utility of pharmacometric models

Authors: Shaun S. Kumar; Eman Biltaji; Robert Bies; Catherine M. Sherwin;

The clinical utility of pharmacometric models

Abstract

Pharmacometric models are powerful tools that can be used for a variety of purposes in clinical pharmacology, drug development and dose individualization. Lewis Sheiner famously described the process of learning versus confirming in the setting of drug development 1 and as applied to pharmacometrics. An example of learning is the quantitative description of the human coagulation network 2 which was then paired with prospective clinical data 3 to confirm the predictive performance of this model. Additionally, models can be used to help design clinical trials via simulation 4 and even provide information for the labelling of drug products 5. The clinically relevant goal is to determine if and how doses can be individualized.

Country
United States
Keywords

Adult, Age Factors, Infant, Newborn, Validation Studies as Topic, Pediatrics, Models, Biological, Healthy Volunteers, Biological Variation, Population, Drug Development, Pharmacology, Clinical, Medical Specialties, Medicine and Health Sciences, Humans, Computer Simulation, Child, Infant, Premature

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
bronze