This book provides a user-friendly, hands-on introduction to theNonlinear Mixed Effects Modeling (NONMEM) system, the most powerfultool for pharmacokinetic / pharmacodynamic analysis. • Introduces requisite background to using NonlinearMixed Effects Modeling (NONMEM), covering data requirements, modelbuilding and evaluation, and quality control aspects • Provides examples of nonlinear modeling concepts andestimation basics with discussion on the model buildingprocess and applications of empirical Bayesian estimates in thedrug development environment • Includes detailed chapters on data set structure,developing control streams for modeling and simulation, modelapplications, interpretation of NONMEM output and results, andquality control • Has datasets, programming code, and practice exerciseswith solutions, available on a supplementary website