Why models and longitudinal data on adherence to non-pharmaceutical interventions must come together
An interdisciplinary team of authors from Canada, Austria, the U.S. and Germany has outlined how immuno-epidemiology and ...
Executive function skills are a set of inter-related processes that support attention, self-control, and goal-directed ...
Longitudinal data analysis is an essential statistical approach for studying phenomena observed repeatedly over time, allowing researchers to explore both within-subject and between-subject variations ...
While urban life is often associated with stress and pollution, living in more intensely developed neighborhoods may actually ...
Mixed-effects location scale models represent a powerful statistical framework designed to investigate longitudinal data. By simultaneously modelling the mean trajectories (location) and residual ...
Designing and Validating a Comprehensive Patient-Reported Outcomes Measure for Ambulatory Cancer Settings: The Revised Edmonton Symptom Assessment System for Cancer This prospective, longitudinal ...
Researchers at LSU’s Pennington Biomedical Research Center recently published the first set of data from the Risks Underlying ...
Researchers from the University of Alabama at Birmingham are members of the large-scale long-term national HEALthy Brain and ...
Tobacco smoking is not associated with functional connectivity alterations in large-scale brain networks among individuals at ...
A longitudinal, relationship-based case management approach significantly reduced health care costs and improved quality of life for Medicaid enrollees with complex needs over 1 year. Objectives: This ...
New research quantified the association between loneliness and dementia by analyzing data from more than 600,000 people around the world. The meta-analysis of 21 longitudinal studies showed that ...
Almost 1,000 participants have been recruited into the LiveWell study in less than a year using real-world NHS data.
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