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

Johannes Textor, Maciej Liśkiewicz. Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective.arrow-up-right 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.arrow-up-right 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.arrow-up-right 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.arrow-up-right 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/cpz1.45arrow-up-right

Last updated