This book presents the latest findings on statistical inference in multivariate, multilinear and mixed linear models, providing a holistic presentation of the s

Emphasizing interpretation of results, this hands-on guide explains why, when, and how to use mixed models with your data.

Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data sets, enabling reade

Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or i

Simplifying the often confusing array of software programs for fitting linear mixed models (LMMs), Linear Mixed Models: A Practical Guide Using Statistical Soft