Directed Acyclic Graphs (DAGS) always include one exposure, one outcome, and one confounder.
Understand the Problem
The question is making a statement about Directed Acyclic Graphs (DAGs) in relation to epidemiological or statistical modeling, specifically noting that they include one exposure, one outcome, and one confounder.
Answer
No, DAGs do not always include one exposure, one outcome, and one confounder.
No, Directed Acyclic Graphs (DAGs) do not always include one exposure, one outcome, and one confounder.
Answer for screen readers
No, Directed Acyclic Graphs (DAGs) do not always include one exposure, one outcome, and one confounder.
More Information
Directed Acyclic Graphs (DAGs) are flexible tools used to represent causal structures. They can show relationships between multiple variables, which may include multiple exposures, outcomes, or confounders, depending on the study design and research questions.
Tips
A common mistake is to assume a DAG must contain one of each type of variable (exposure, outcome, confounder) when in reality its structure depends on the specific causal questions it represents.
Sources
- Use of directed acyclic graphs (DAGs) to identify confounders ... - NCBI - ncbi.nlm.nih.gov
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