Generalized linear mixed models (GLMMs) estimate fixed and random effects and are
especially useful when the dependent variable is binary, ordinal, count or quantitative but …

Linear mixed‐effects models are powerful tools for analysing complex datasets with
repeated or clustered observations, a common data structure in ecology and evolution …

Background When evaluating the impact of environmental exposures on human health,
study designs often include a series of repeated measurements. The goal is to determine …

Many researchers favor repeated measures designs because they allow the detection of
within-person change over time and typically have higher statistical power than cross …

While preclinical stroke studies have shown that mesenchymal stem cells (MSCs) promote
recovery, few randomized controlled trials (RCT) have assessed cell therapy in humans. In …

This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its
practical and accessible approach, with excellent examples and good guidance on …

Objectives To identify changes in health‐related quality of life (HRQ oL) after diagnosis of
bladder cancer in older adults in comparison with a group of adults without bladder cancer …

The relationship between biomechanical forces and neuropathology is key to understanding
traumatic brain injury. White matter tracts are damaged by high shear forces during impact …

A growing interest in understanding complex and dynamic psychological processes as they
occur in everyday life has led to an increase in studies using ambulatory assessment …

Cross-sectional analysis of longitudinal anatomical magnetic resonance imaging (MRI) data
may be suboptimal as each dataset is analyzed independently. In this study, we evaluate …