Mixed effects models have become very popular, especially for the analysis of longitudinal
data. One challenge is how to build a good enough mixed effects model. In this paper, we …

Mixed models have become very popular for the analysis of longitudinal data, partly
because they are flexible and widely applicable, partly also because many commercially …

This practical book is designed for applied researchers who want to use mixed models with
their data. It discusses the basic principles of mixed model analysis, including two-level and …

At present, there are many software procedures available that enable statisticians to fit linear
mixed models (LMMs) to continuous dependent variables in clustered or longitudinal …

Analysis of a large longitudinal study of children motivated our work. The results illustrate
how accurate inference for fixed effects in a general linear mixed model depends on the …

We develop graphical and numerical methods for checking the adequacy of generalized
linear mixed models (GLMMs). These methods are based on the cumulative sums of …

The general linear mixed model provides a useful approach for analysing a wide variety of
data structures which practising statisticians often encounter. Two such data structures …

Abstract Breslow and Clayton (J Am Stat Assoc 88: 9–25, 1993) was, and still is, a highly
influential paper mobilizing the use of generalized linear mixed models in epidemiology and …

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 …

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 …