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 …

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 …

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 …

Forest Analytics with R combines practical, down-to-earth forestry data analysis and
solutions to real forest management challenges with state-of-the-art statistical and data …

Hierarchical structures are omnipresent in today's society—this is reflected in the data that
we collect on all aspects of this society. Hierarchical linear models allow a representation of …

Background Safe, effective, oral therapies are needed for acute treatment of migraine. This
clinical trial assessed the efficacy, tolerability, and safety of celecoxib oral solution (ELYXYB) …

Over the last twenty years there have been numerous developments in diagnostic pro-
cedures for hierarchical linear models; however, these procedures are not widely imple …

Suppose an education researcher wants to test the impact of a high school drop-out
prevention intervention in which at-risk students attend classes to receive intensive summer …

Little is known about the development of higher‐level areas of visual cortex during infancy,
and even less is known about how the development of visually guided behavior is related to …

Genomic prediction is a statistical method to predict phenotypes of polygenic traits using
high-throughput genomic data. Most diseases and behaviors in humans and animals are …