Introduction to Directed Acyclic Graphs (DAGs) for bias visu…

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  • DOI 10.1201/9781003300809-4
  • OpenAlex ID W7135034137
  • Type Book-chapter
  • Language EN
  • Published 11 Mar 2026
  • Pages 48–64
  • Source Chapman & Hall/CRC eBooks
  • Publisher Informa
  • Added 13 Mar 2026
  • Updated 11 Oct 2026
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Introduction to Directed Acyclic Graphs (DAGs) for bias visualization

Book-chapter 2026 EN

Directed Acyclic Graphs (DAGs) are a useful tool to visualize the assumed relationship between variables. By mapping variables and visualizing causal structures, DAGs are particularly helpful to researchers who aim to explore the effectiveness of treatments on health outcomes, as DAGs help identify the role of covariates that need to be taken into account in the analysis, along with the treatment…

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2 authors
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1 Tri‐Long Nguyen —
2 Katrine Strandberg‐Larsen —

Data: OpenAlex