[2/4/2025] DAGitty — draw and analyze causal diagrams

DAGitty - drawing and analyzing causal diagrams (DAGs)

Johannes Textor, Maciej Liśkiewicz. Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective. In Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), pp. 681-688. AUAI press, 2011.

Benito van der Zander, Maciej Liśkiewicz, Johannes Textor. Constructing Separators and Adjustment Sets in Ancestral Graphs. In Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI 2014), pp. 907-916. AUAI Press, 2014.

Benito van der Zander, Johannes Textor, Maciej Liśkiewicz. Efficiently Finding Conditional Instruments for Causal Inference. In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), pp. 3243-3249. AAAI Press, 2015.

Benito van der Zander, Maciej Liśkiewicz. Separators and Adjustment Sets in Markov Equivalent DAGs. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016), pp. 3315-3321. AAAI Press, 2016.

Ankur Ankan, Inge M. N. Wortel, Johannes Textor Testing Graphical Causal Models Using the R Package “dagitty” https://currentprotocols.onlinelibrary.wiley.com/doi/full/10.1002/cpz1.45