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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao The Journal of Clini...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
The Journal of Clinical Pharmacology
Article . 2020 . Peer-reviewed
License: Wiley Online Library User Agreement
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Parametric Approaches in Population Pharmacokinetics

Authors: Monia Guidi; Chantal Csajka; Thierry Buclin;

Parametric Approaches in Population Pharmacokinetics

Abstract

AbstractPopulation pharmacokinetic (popPK) approaches have spread widely throughout clinical pharmacology research, and every clinician should have some understanding of them. After a general introduction on the fundamentals and fields of application of these approaches, this review focuses on parametric popPK methods to provide the clinicians with the conceptual tools to interpret appropriately the results of parametric popPK analyses and to understand their clinical utility. The emphasis is put on the clinical questions that popPK methods are best suited to address. The basic principles of the methodology are introduced first, and then the main algorithms and reference software programs used in such analyses are presented. The description of data analysis and clinical applications of the parametric popPK approach (ie, use in simulations and therapeutic drug monitoring) are illustrated with the example of the antiretroviral drug efavirenz.

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Keywords

Cyclopropanes, education (EDU), Models, Statistical, clinical pharmacology (CPH), Metabolic Clearance Rate, Age Factors, drug development, Models, Biological, Benzoxazines, Sex Factors, population pharmacokinetics, Software Design, Alkynes, Area Under Curve, modeling & simulation, Humans, Pharmacokinetics, Algorithms

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    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
37
Top 10%
Top 10%
Top 10%
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