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 …

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 …

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 …

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 …

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 …

Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond is an
integrated treatment of data analysis for the social and behavioral sciences. It covers all of …

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

Many applied researchers analyzing longitudinal data share a common misconception: that
specialized statistical software is necessary to fit hierarchical linear models (also known as …

Well-designed computing tools play a fundamental role in the creation and sustenance of
widespread interest in the application of statistical models involving fi xed and random …

An overview of the theory and application of linear and nonlinear mixed-effects models in
the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel …