Introduction to Population Pharmacokinetic / Pharmacodynamic Analysis with Nonlinear Mixed Effects Models

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

• Pharmacokinetic-Pharmacodynamic Modeling and Simulation
• Pharmacokinetic and Pharmacodynamic Data Analysis: Concepts and Applications, Second Edition
• Basic Pharmacokinetics and Pharmacodynamics: An Integrated Textbook and Computer Simulations
• Clinical Pharmacokinetics and Pharmacodynamics: Concepts and Applications
• Pharmacometrics: The Science of Quantitative Pharmacology
• Greene's Protective Groups in Organic Synthesis
• ADME and Translational Pharmacokinetics / Pharmacodynamics of Therapeutic Proteins: Applications in Drug Discovery and Development
• Physiologically-Based Pharmacokinetic (PBPK) Modeling and Simulations: Principles, Methods, and Applications in the Pharmaceutical Industry
• Drug-Like Properties: Concepts, Structure Design and Methods from ADME to Toxicity Optimization