The exposed dataset will include the documentation of the editing of the core copy to give the providers the opportunity to update their data.
The dataset will include the following variables: month and year of discharge, CMG, CIHI-defined age group, hospital, region of residence (HA), length of stay (LOS), ICD-10-CA codes, indicator of death, and Adjusted Clinical Groups (a measure of health status [ 28]).
The dataset will include people with and without Parkinson's, and with a range of other health conditions.
The dataset will include: demographic and socio-economic factors; maternal general health; medications; smoking; drug use (pharmaceutical and recreational); diet; body mass index (BMI) and pregnancy weight gain; fetal movements; stress assessment; sleep disordered breathing; sleep positions and other sleep habits.
The analytic dataset will include an indicator variable to represent incident cases of new home care in the period immediately following discharge from acute care.
The analytic dataset will include admission date, CMG, hospital, region of residence, ICD-10-CA codes, procedure date and whether the patient was admitted from the ED.
This dataset will include all randomized patients who underwent the procedure and who have at least one endpoint assessed after the randomization.
"[T]he Project Baseline study dataset will include clinical, molecular, imaging, self-reported, behavioral, environmental, sensor and other health-related measurements.
The core and extended datasets will include demographics, family history, details of diagnosis, eye signs, deafness, diabetes, associated symptoms, quality of life and investigations.
Upcoming datasets will include gut metagenomic data and a Drosophila genomics workflow dataset.
Standard preprocessing methods for all datasets will include correction for head movement [ 52] and appropriate control for potential confounds to BOLD signal dynamics such as fluctuation in cardiorespiratory rhythms [ 57].
