Assessing Ontario ’
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Commentary: Assessing population (baseline) risk is a cornerstone of population health planning—looking forward to address new challenges
The Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada, The Departments of Family Medicine and Epidemiology and Community Medicine, University of Ottawa, Ottawa, Ontario, Canada, Statistics Canada, Ottawa, Ontario, Canada, The Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada and Dalla Lana School of Public Health, University of Toronto...
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Catherine R Lowrey1*, Carl PT Jackson1, Stephen D Bagg3,4, Sean P Dukelow5,6 and Stephen H Scott1,2,4 1Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario, Canada 2Department of Anatomy and Cell Biology, Queen’s University, Kingston, Ontario, Canada 3Department of Physical Medicine and Rehabilitation, Queen’s University, Kingston, Ontario, Canada 4School of Medicine, Queen’s ...
متن کاملWorking and Living in Northern vs Southern Ontario Is Associated with the Duration of Compensated Time off Work: A Retrospective Cohort Study.
BACKGROUND Northern Ontario, Canada has a larger elder population, more resource-based employment, and limited access to physicians and specialists compared to southern Ontario. Given these important differences, it is possible that work disability rates will vary between the two Ontario jurisdictions. OBJECTIVE To determine the association between time lost due to workplace injuries and illn...
متن کاملFinite Sample Properties of Quantile Interrupted Time Series Analysis: A Simulation Study
Interrupted Time Series (ITS) analysis represents a powerful quasi-experime-ntal design in which a discontinuity is enforced at a specific intervention point in a time series, and separate regression functions are fitted before and after the intervention point. Segmented linear/quantile regression can be used in ITS designs to isolate intervention effects by estimating the sudden/level change (...
متن کاملOntario protocol assessment level: clinical trial complexity rating tool for workload planning in oncology clinical trials.
PURPOSE The Ontario Institute for Cancer Research supported the creation of a working group with the objective of developing a standard rating scale to evaluate clinical trial complexity and applying the scale to facilitate workload measurement for Ontario cancer research sites. METHODS The lack of a mechanism to measure the workload involved in a clinical trials protocol was identified and c...
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