The use of Directed Acyclic Graphs (DAGs) to detect biases in published epidemiologic studies (P2P-approved)

Name: The use of Directed Acyclic Graphs (DAGs) to detect biases in published epidemiologic studies (P2P-approved)
Start: 2025-04-03T17:00:00-04:00
End: 2025-04-03T19:00:00-04:00
Location: Private Location (sign in to display)

by Epidemiology and Biostatistics Students Association

Education

Thu, Apr 3, 2025

5 PM – 7 PM EDT (GMT-4)

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Flyer for The use of Directed Acyclic Graphs ( DAGs ) to detect biases in published epidemiologic studies ( P2P-approved )

Interested in developing a deeper understanding of epidemiology research methods? Join us, along with Dr. Rijnhart and Dr. Valente from the Causal Inference in Public Health Research (CIPHR) lab, to dive deeper into the use of Directed Acyclic Graphs (DAGs). DAGs are a communicative tool used to understand causality and bias in studies. They are a valuable asset to any public health professional, not just those in epidemiology, wanting to learn more about third variables.
This event is also Passport-2-Professionalism Approved!

File Attachments: CIPHR_x_EBSA

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