The Case For Time in Causal DAGs
Abstract
Abstract We make the case for incorporating a notion of time into causal directed acyclic graphs (DAGs). We demonstrate that nontemporal causal DAGs are ambiguous and obstruct justification of the acyclicity assumption. Assuming that causes precede effects, causal relationships are relative to the time order, and causal DAGs require temporal qualification. We propose a formalization via composite causal variables that refer to quantities at one or multiple time points. We emphasize that the acyclicity assumption requires different justifications depending on whether the time order allows cycles. We conclude by discussing implications for the interpretation and applicability of DAGs as causal models.
Fields of Study & Subjects
Atrial Fibrillation Management and Outcomes
Health Systems
Economic Evaluations
Quality of Life
Pharmaceutical Economics and Policy
Publication details
- Journal / source
- Philosophy of Science
- Pages
- 1–21
- Publication date
- 22 June 2026
- Language
- EN