Parametric and Nonparametric Methods in Population Pharmacokinetics: Experts' Discussion on Use, Strengths, and Limitations.

Details

Serval ID
serval:BIB_E083EEFD4CCE
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Parametric and Nonparametric Methods in Population Pharmacokinetics: Experts' Discussion on Use, Strengths, and Limitations.
Journal
Journal of clinical pharmacology
Author(s)
Goutelle S., Woillard J.B., Buclin T., Bourguignon L., Yamada W., Csajka C., Neely M., Guidi M.
ISSN
1552-4604 (Electronic)
ISSN-L
0091-2700
Publication state
Published
Issued date
02/2022
Peer-reviewed
Oui
Volume
62
Number
2
Pages
158-170
Language
english
Notes
Publication types: Journal Article ; Review
Publication Status: ppublish
Abstract
Population pharmacokinetics consists of analyzing pharmacokinetic (PK) data collected in groups of individuals. Population PK is widely used to guide drug development and to inform dose adjustment via therapeutic drug monitoring and model-informed precision dosing. There are 2 main types of population PK methods: parametric (P) and nonparametric (NP). The characteristics of P and NP population methods have been previously reviewed. The aim of this article is to answer some frequently asked questions that are often raised by scholars, clinicians, and researchers about P and NP population PK methods. The strengths and limitations of both approaches are explained, and the characteristics of the main software programs are presented. We also review the results of studies that compared the results of both approaches in the analysis of real data. This opinion article may be informative for potential users of population methods in PK and guide them in the selection and use of those tools. It also provides insights on future research in this area.
Keywords
Age Factors, Algorithms, Area Under Curve, Humans, Metabolic Clearance Rate, Models, Biological, Models, Statistical, Pharmacokinetics, Sex Factors, Software Design, MIDD (model-informed drug development), modeling and simulation, pharmacometrics, population pharmacokinetics, therapeutic drug monitoring
Pubmed
Web of science
Create date
09/11/2021 12:11
Last modification date
22/03/2022 7:35
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