Applied Statistical Modelling

This work discusses the major classes of statistical models, including linear models, generalized linear models, linear mixed models, generalized linear mixed models, nonlinear models, and nonlinear mixed effects models. All topics are presented in a unified manner, with an emphasis on building and understanding the models, rather than the technical complexities involved in their fitting. Assuming knowledge of probability, inference, and matrix algebra, the book focuses on the application of the models, particularly in drug development.