Recent technological advances enable the collection of intensive longitudinal data. This
scoping review aimed to provide an overview of methods for collecting intensive time series …

Advances in digital technologies and data analytics have created unparalleled opportunities
to assess and modify health behavior and thus accelerate the ability of science to …

BackgroundAmbulatory monitoring is gaining popularity in mental and somatic health care
to capture an individual's wellbeing or treatment course in daily-life. Experience sampling …

Big Data has been a buzzword in almost every possible field during the last few years. The
rapid integration of massive amounts of information from diverse sources fed the hope for a …

There has been a strong increase in the number of studies based on intensive longitudinal
data, such as those obtained with experience sampling and daily diaries. These data …

Most people with mental health disorders cannot receive timely and evidence-based care
despite billions of dollars spent by healthcare systems. Researchers have been exploring …

Objectives As smartphones and sensors become more prominently used in mobile health,
the methods used to analyze the resulting data must also be carefully considered. The …

Purpose Globally, individuals living with mental disorders are more likely to have access to a
mobile phone than mental health care. In this commentary, we highlight opportunities for …

Time series analysis of intensive longitudinal data provides the psychological literature with
a powerful tool for assessing how psychological processes evolve through time. Recent …

Background Analyzing actigraphy data using standard circadian parametric models and
aggregated nonparametric indices may obscure temporal information that may be a …