Table of Contents

Linear Mixed-Effects Models.- Linear Mixed-Effects Models: Basic Concepts and Examples.- Theory and Computational Methods for Linear Mixed-Effects Models.- Describing the Structure of Grouped Data.- Fitting Linear Mixed-Effects Models.- Extending the Basic Linear Mixed-Effects Model.- Nonlinear Mixed-Effects Models.- Nonlinear Mixed-effects Models: Basic Concepts and Motivating Examples.- Theory and Computational Methods for Nonlinear Mixed-Effects Models.- Fitting Nonlinear Mixed-Effects Models.

Reviews

“Over 170 figures are included in the book. … the material covered in the book is self-contained … . The balanced mix of real data examples, modeling software, and theory makes this book a useful reference for practitioners who use, or intend to use, mixed-effects models in their data analyses. It can also be used as a text for a one-semester graduate-level applied course in mixed-effects models.” (E.M.Psyadlo, zbMATH 0953.62065, 2022)