Sentence examples for combined longitudinal data from inspiring English sources

This combined longitudinal data source enables us to implement a quasi-experimental design with statistical controls to examine changes in monthly average weekday ridership, before and after the Bus Tracker system was implemented, on each bus route.

The main strength of the ANRS CO 13 HEPAVIH cohort is the combined longitudinal data collection of clinical and socio-behavioral items that makes this cohort unique in the field.

We tried to track a Lean footprint on the psychosocial work environment by combining longitudinal data on psychosocial work factors, multi-source data on Lean implementation and context.

A study combining longitudinal data from prescribing surveys and data from general practices in Scotland explored four potential explanations: increased incidence; increased prevalence; increased care seeking behaviour by patients; and improved identification of depression by general practitioners.

The current study combined longitudinal EEG data in twins measured at age 16, and returning at age 18 and 25 with EEG data in two additional cohorts of young (ca. 25 years) and middle-aged (ca. 50 years) twins and siblings.

These findings underscore the value of combining longitudinal behavioral data and genome-wide genotype information in order to study developmental patterns and improve statistical power in genomic studies.

To analyze a larger sample of patients, we combined the longitudinal data of these 13 patients from the OSS cohort with data from a group of 31 unselected SLE patients from the AECOM cohort on whom serial measurements of uTWEAK levels had been obtained.

Further, the collaboration with the prevention programme, Tobacco Free Duo, enabled us to combine the longitudinal data from the OLIN studies with intervention data on participation in the prevention programme.

Collaboration with a tobacco prevention programme (Tobacco Free Duo) enabled us to combine the longitudinal data from the Obstructive Lung disease in Northern Sweden (OLIN) studies with intervention data on participation in the prevention programme.

These data sets form the basis for the analyses presented here that permit investigation of prognostic biomarkers of aging by combining longitudinal studies of features (including blood count data, leucocyte data, blood chemistry, body composition, etc).

A recent article by Zeevi et al. combines longitudinal monitoring of PPGRs by wearable continuous glucose monitors, microbiome profile data and clinical information in a large cohort.