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
Summary
Aims to present through theory and example how to develop pharmacokinetic models, both at an individual and population level. In order to do so, 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
