It has been an amazing time since the publication of the first edition, with vast changes
taking place in the fields of mixed effects models and their applications. At the time when the …

Highly recommended by JASA, Technometrics, and other leading statistical journals, the first
two editions of this bestseller showed how to easily perform complex linear mixed model …

Mixed modelling is very useful, and easier than you think! Mixed modelling is now well
established as a powerful approach to statistical data analysis. It is based on the recognition …

Many common statistical models can be expressed as linear models that incorporate both
fixed effects, which are parameters associated with an entire population or with certain …

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents
an introduction to linear modeling using the generalized linear mixed model (GLMM) as an …

This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed
effects models. This text is different from other introductions by being decidedly conceptual; I …

Generalized linear mixed models are popular for regressing a discrete response when there
is clustering, eg in longitudinal studies or in hierarchical data structures. It is standard to …

In Chap. 10, we presented linear models (LMs) models with fixed effects for correlated data.
They are examples of population-averaged models, because their mean-structure …

Wiley Series in Probability and Statistics A modern perspective on mixed models The
availability of powerful computing methods in recent decades has thrust linear and nonlinear …

Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences
provides readers with an understanding and appreciation for the design and analysis of …