Wednesday, October 8, 2025

9:00 AM - 5:00 PM

Riverbank 3

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Details

Causal inference is essential in sleep research, yet many studies struggle with systematic bias. This course provides an introduction to DAGs—a powerful tool for visualizing and addressing these challenges. Designed for researchers, clinicians, and public health professionals, this interactive session will cover the fundamentals of DAGs, how to construct and interpret them, and their application in study design and data analysis in a sleep health context. Participants will learn how to identify confounders, avoid common biases, and enhance the validity of causal claims in sleep research. No prior experience with DAGs is required, but a basic understanding of epidemiologic concepts is beneficial. By the end of the course, attendees will be equipped with practical skills to integrate DAGs into their own research, improving the methodological rigor of sleep epidemiology and clinical studies. Morning tea, lunch and afternoon tea are included.