The paper is motivated by an accelerometer-based study of physical activity (PA) behaviours
in a large cohort of UK school-aged children. Advances in research on PA are accompanied …

We present a case study illustrating the challenges of analyzing accelerometer data taken
from a sample of children participating in an intervention study designed to increase …

Multiple informant data refers to information obtained from different individuals or sources
used to measure the same construct; for example, researchers might collect information …

Background: Accelerometers are widely used to quantify physical activity (PA) in
preschoolers, yet no 'best practice'method for data treatment exists. The purpose of this …

Analyzing longitudinal data in health studies is challenging due to sparse and error-prone
measurements, strong within-individual correlation, missing data and various trajectory …

Background Behavioural patterns are typically derived using unsupervised multivariate
methods such as principal component analysis (PCA), latent profile analysis (LPA) and …

With a large number of variables measuring different aspects of a same theme, we would
like to summarize the information in a limited number of components, ie linear combinations …

The purposes of this study were to examine the relationship between accelerometer-derived
physical activity (PA) in preschoolers and their parents, and to investigate other potential …

Accelerometers are person-worn sensors that provide objective measurements of movement
based on minute-level activity counts, thus providing a rich framework for assessing physical …

Data collected longitudinally as part of usual health care is becoming increasingly available
for research, and is often available across several centres. Because the frequency of follow …