Pharmacokinetic-Pharmacodynamic Modeling and Simulation

Peter Bonate

399 pages, parution le 01/12/2005

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Résumé

A natural hierarchy exists in pharmacokinetic-pharmacodynamic modeling culminating in population pharmacokinetic models, which are a specific type of nonlinear mixed effects model. The purpose of this book is to present through theory and example how to develop pharmacokinetic models, both at an individual and population level. In order to do so, however, one must first understand linear models and then build to nonlinear models followed by linear mixed effects models and then ultimately nonlinear mixed effects models. This book develops in that manner - each chapter builds upon previous chapters by first presenting the theory and then illustrating the theory using published data sets and actual data sets that were used in the development of new chemical entities collected by the author during his years in industry. A key feature of the book is the process of modeling. Most books and manuscripts often present the final model never showing how the model evolved. In this book all examples are presented in an evolutionary manner.

Written for: Graduate students in pharmacokinetic or statistical modeling and professionals in pharmaceutical sciences

Sommaire

The art of modeling
Linear models and regression
Nonlinear models and regression
Variance models, weighting, and transformations
Case studies in linear and nonlinear modeling
Linear mixed effects models
Nonlinear mixed effects models : theory
Nonlinear mixed effects models : practical issues
Nonlinear mixed effects models : case studies

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Peter Bonate
Parution	01/12/2005
Nb. de pages	399
Format	16 x 24
Couverture	Broché
Intérieur	Noir et Blanc
EAN13	9780387271972
ISBN13	978-0-387-27197-2