Pharmacokinetic-Pharmacodynamic Modeling and Simulation 2nd Edition

Pharmacokinetic-Pharmacodynamic Modeling and Simulation
Authors: Peter L. Bonate
ISBN-10: 144199484X
ISBN-13: 9781441994844
Edition: 2nd ed. 2011
Released: 2011-07-01
Hardcover: 618 pages
List Price
Book Description
Since its publication in 2006, Pharmacokinetic-Pharmacodynamic Modeling and Simulation has become the leading text on modeling of pharmacokinetic and pharmacodynamic data using nonlinear mixed effects models and has been applauded by students and teachers for its readability and exposition of complex statistical topics. Using a building block approach, the text starts with linear regression, nonlinear regression, and variance models at the individual level and then moves to population-level models with linear and nonlinear mixed effects models. Particular emphasis is made highlighting relationships between the model types and how the models build upon one another.
With the second edition, new chapters on generalized nonlinear mixed effects models and Bayesian models are presented, along with an extensive chapter on simulation. In addition, many chapters have been updated to reflect recent developments. The theory behind the methods is illustrated using real data from the literature and from the author’s experiences in drug development. Data are analyzed using a variety of software, including NONMEM, SAS, SAAM II, and WinBUGS. A key component of the book is to show how models are developed using an acceptance-rejection paradigm with the ultimate goal of using models to explain data, summarize complex experiments, and use simulation to answer “what-if” questions. Scientists and statisticians outside the pharmaceutical sciences will find the book invaluable as a reference for applied modeling and simulation.
Table of Contents
Preface to the First Edition
Preface to the Second Edition
CHAPTER 1 The Art of Modeling
CHAPTER 2 Linear Models and Regression
CHAPTER 3 Nonlinear Models and Regression
CHAPTER 4 Variance Models,Weighting,and
Transformations
CHAPTER 5 Case Studies in Linear and Nonlinear
Modeling
CHAPTER 6 Linear Mixed Effects Models
CHAPTER 7 Nonlinear Mixed Effects Models: Theory
CHAPTER 8 Nonlinear Mixed Effects Models: Practical
Issues
CHAPTER 9 Nonlinear Mixed EffectS Models: Case
Studies
CHAPTER 10 Bayesian Modeling
CHAPTER 11 Generalized Linear Models and Its
Extensions
CHAPTER 12 Principles of Simulation
Appendix
Index
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