Introduction to Population Pharmacokinetic / Pharmacodynamic Analysis with Nonlinear Mixed Effects Models (ePub)
(Sprache: Englisch)
This book provides a user-friendly, hands-on introduction to the
Nonlinear Mixed Effects Modeling (NONMEM) system, the most powerful
tool for pharmacokinetic / pharmacodynamic analysis.
* Introduces requisite background to using Nonlinear
Mixed...
Nonlinear Mixed Effects Modeling (NONMEM) system, the most powerful
tool for pharmacokinetic / pharmacodynamic analysis.
* Introduces requisite background to using Nonlinear
Mixed...
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Produktinformationen zu „Introduction to Population Pharmacokinetic / Pharmacodynamic Analysis with Nonlinear Mixed Effects Models (ePub)“
This book provides a user-friendly, hands-on introduction to the
Nonlinear Mixed Effects Modeling (NONMEM) system, the most powerful
tool for pharmacokinetic / pharmacodynamic analysis.
* Introduces requisite background to using Nonlinear
Mixed Effects Modeling (NONMEM), covering data requirements, model
building and evaluation, and quality control aspects
* Provides examples of nonlinear modeling concepts and
estimation basics with discussion on the model building
process and applications of empirical Bayesian estimates in the
drug development environment
* Includes detailed chapters on data set structure,
developing control streams for modeling and simulation, model
applications, interpretation of NONMEM output and results, and
quality control
* Has datasets, programming code, and practice exercises
with solutions, available on a supplementary website
Nonlinear Mixed Effects Modeling (NONMEM) system, the most powerful
tool for pharmacokinetic / pharmacodynamic analysis.
* Introduces requisite background to using Nonlinear
Mixed Effects Modeling (NONMEM), covering data requirements, model
building and evaluation, and quality control aspects
* Provides examples of nonlinear modeling concepts and
estimation basics with discussion on the model building
process and applications of empirical Bayesian estimates in the
drug development environment
* Includes detailed chapters on data set structure,
developing control streams for modeling and simulation, model
applications, interpretation of NONMEM output and results, and
quality control
* Has datasets, programming code, and practice exercises
with solutions, available on a supplementary website
Autoren-Porträt von Joel S. Owen, Jill Fiedler-Kelly
Joel S. Owen is Professor of Pharmaceutics at Union University, Jackson, Tennessee and President and Principal Scientist of Joel S. Owen, LLC. He has led workshops on NONMEM and PK/PD modeling concepts and applications and served as Director PK/PD at Cognigen Corporation in Buffalo, New York. He has published 16 articles in research publications.Jill Fiedler-Kelly is Vice President and Chief Scientific Officer of Cognigen Corporation and Adjunct Associate Professor of Pharmaceutical Sciences at the University at Buffalo. She has been teaching workshops and graduate courses on population modeling for over 10 years and has published more than 20 articles and book chapters on pharmacokinetics and pharmacodynamics.
Bibliographische Angaben
- Autoren: Joel S. Owen , Jill Fiedler-Kelly
- 2014, 1. Auflage, 320 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118784618
- ISBN-13: 9781118784617
- Erscheinungsdatum: 19.06.2014
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 14 MB
- Mit Kopierschutz
Sprache:
Englisch
Kopierschutz
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