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Model Evaluation of Continuous Data Pharmacometric Models: Metrics and Graphics
INSERM, IAME, UMR 1137, Paris, France.;Univ Paris Diderot, Sorbonne Paris Cite, Paris, France..
Certara Strateg Consulting, Montreal, PQ, Canada..
Univ Auckland, Dept Pharmacol & Clin Pharmacol, Auckland, New Zealand..
AstraZeneca, Quantitat Clin Pharmacol, Waltham, MA USA..
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2017 (English)In: CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY, ISSN 2163-8306, Vol. 6, no 2, 87-109 p.Article in journal (Refereed) Published
Abstract [en]

This article represents the first in a series of tutorials on model evaluation in nonlinear mixed effect models (NLMEMs), from the International Society of Pharmacometrics (ISoP) Model Evaluation Group. Numerous tools are available for evaluation of NLMEM, with a particular emphasis on visual assessment. This first basic tutorial focuses on presenting graphical evaluation tools of NLMEM for continuous data. It illustrates graphs for correct or misspecified models, discusses their pros and cons, and recalls the definition of metrics used.

Place, publisher, year, edition, pages
WILEY , 2017. Vol. 6, no 2, 87-109 p.
National Category
Pharmaceutical Sciences
Identifiers
URN: urn:nbn:se:uu:diva-320708DOI: 10.1002/psp4.12161ISI: 000394954900003PubMedID: 27884052OAI: oai:DiVA.org:uu-320708DiVA: diva2:1090460
Available from: 2017-04-24 Created: 2017-04-24 Last updated: 2017-04-24Bibliographically approved

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Hooker, Andrew C.Karlsson, Mats O.
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CiteExportLink to record
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