Resources and Upcoming Events
Guides, Tools, Training & Upcoming events
CANUE
Learn how to access standardized environmental exposure data across Canada, supporting respiratory health research through cohort linkage and custom datasets.
Consent Forms
Learn data sharing requirements and best practices, including consent for secondary use of coded data and samples.
Core Variables
Learn how a common data model standardizes respiratory health data, enabling study comparisons and pooled analyses across multiple research projects.
Advances in causal inference methods applied to real-world evidence (Part 2)
Introduces causal inference methods for measured confounding, covering IPTW, g-computation, and their practical application in R.
Advances in causal inference methods applied to real-world evidence (Part 1)
Introduces causal inference principles, identifiability assumptions, and DAGs for addressing confounding and bias in respiratory health research.
