Introduction to Causal Inference and Directed Acyclic Graphs (Virtual Event)

This presentation will discuss causal inference and directed acyclic graphs. Participants will learn the difference between description, prediction, and causal inference as three distinct scientific tasks requiring distinct scientific methods.  Additionally, participants will understand the main features of causal directed acyclic graphs and how they can be used to plan and interpret causal analysis and appreciate some of the challenges and implications of using directed acyclic graphs in applied research.

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