Description
* 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
About the Author
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.
Reviews
"This book may make the "User Guide V experience" a story from the good old times for the next generation of pharmacometricians." (CPT: Pharmacometrics & Systems Pharmacology, 22 December 2014)
Book Information
ISBN 9780470582299
Author Joel S. Owen
Format Hardback
Page Count 320
Imprint John Wiley & Sons Inc
Publisher John Wiley & Sons Inc
Weight(grams) 567g
Dimensions(mm) 236mm * 155mm * 23mm