Which covariates to adjust for: An introduction to directed acyclic graphs (24/8 + 26-28/8 2026)

University of Southern Denmark, Graduate School of Health Sciences

Directed acyclic graphs (DAGs) are increasingly used in modern epidemiology to visually present causal assumptions. Once one can manage the rules for translating the causal assumptions into a DAG and reading off statistical associations from the causal assumptions represented in a DAG, it can facilitate a number of tasks, such as choosing regression covariates, understanding selection bias, and information bias. Using DAGs makes it easier to recognize and avoid mistakes in a number of analytic decisions.

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