Abstract Event-related potentials (ERPs), specifically the Mismatch Response (MMR), holds
promise for investigating auditory maturation in children. It has the potential to predict …

Meta-analytic techniques have been widely used to synthesize data from animal models of
human diseases and conditions, but these analyses often face two statistical challenges due …

In psychology and the behavioral sciences generally, the use of the hierarchical linear
model (HLM) and its extensions for discrete outcomes are popular methods for modeling …

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 …

The abstract concept of “information” can be quantified and this has led to many important
advances in the analysis of data in the empirical sciences. This text focuses on a science …

The problem of small area estimation (SAE) is how to produce reliable estimates of
characteristics of interest such as means, counts, quantiles, etc., for areas or domains for …

Background Cross-sectional studies suggest that prevalence of the metabolic syndrome
(MetS) increases from premenopause to postmenopause in women, independent of age …

Landscape genetics aims to assess the effect of the landscape on intraspecific genetic
structure. To quantify interdeme landscape structure, landscape genetics primarily uses …

Discipline-based education researchers have a natural laboratory—classrooms, programs,
colleges, and universities. Studies that administer treatments to multiple sections, in multiple …