Lennart Hansson, Lars H Lindholm, Tord Ekbom, Björn Dahlöf, Jan Lanke, Bengt Scherstén, PO Wester, Thomas Hedner, Ulf de Faire, STOP-Hypertension-2 Study Group, et al. Randomised trial of old and new antihypertensive drugs in elderly patients: cardiovascular mortality and morbidity the swedish trial in old patients with hypertension-2 study. The Lancet, 354(9192):1751-1756, 1999.
Jennifer L Hill. Bayesian nonparametric modeling for causal inference. Journal of Computational and Graphical Statistics, 20(1):217-240, 2011.
Yimin Huang and Marco Valtorta. Identifiability in causal bayesian networks: A sound and complete algorithm. In Proceedings of the national conference on artificial intelligence, volume 21, page 1149. Menlo Park, CA; Cambridge, MA; London; AAAI Press; MIT Press; 1999, 2006.
Yonghan Jung, Jin Tian, and Elias Bareinboim. Estimating causal effects using weighting-based estimators. In Proceedings of the 34th AAAI Conference on Artificial Intelligence, 2020a.
Yonghan Jung, Jin Tian, and Elias Bareinboim. Learning causal effects via weighted empirical risk minimization. Advances in Neural Information Processing Systems, 33, 2020b.
Yonghan Jung, Jin Tian, and Elias Bareinboim. Estimating identifiable causal effects on markov equivalence class through double machine learning. In Proceedings of the 38th International Conference on Machine Learning, 2021a.
Yonghan Jung, Jin Tian, and Elias Bareinboim. Estimating identifiable causal effects through double machine learning. In Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021b.
Yonghan Jung, Jin Tian, and Elias Bareinboim. Estimating joint treatment effects by combining multiple experiments. In Proceedings of the 40th International Conference on Machine Learning, 2023. URL https://proceedings.mlr.press/v202/jung23c.html.
Edward H Kennedy. Optimal doubly robust estimation of heterogeneous causal effects. arXiv preprint arXiv:2004.14497, 2020.
Edward H Kennedy, Sivaraman Balakrishnan, Max GSell, et al. Sharp instruments for classifying compliers and generalizing causal effects. Annals of Statistics, 48(4):2008-2030, 2020.
Alan B Krueger and Diane M Whitmore. The effect of attending a small class in the early grades on college-test taking and middle school test results: Evidence from project star. *The Economic Journal*, 111(468):1-28, 2001.
R Kumar, DM Kerins, and T Walther. Cardiovascular safety of anti-diabetic drugs. European Heart Journal-Cardiovascular Pharmacotherapy, 2(1):32-43, 2016.
Robert J LaLonde. Evaluating the econometric evaluations of training programs with experimental data. The American economic review, pages 604-620, 1986.
Sanghack Lee, Juan D Correa, and Elias Bareinboim. General identifiability with arbitrary surrogate experiments. In Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence. AUAI Press, 2019.
Christos Louizos, Uri Shalit, Joris M Mooij, David Sontag, Richard Zemel, and Max Welling. Causal effect inference with deep latent-variable models. Advances in neural information processing systems, 30, 2017.
Alexander R Luedtke, Oleg Sofrygin, Mark J van der Laan, and Marco Carone. Sequential double robustness in right-censored longitudinal models. arXiv preprint arXiv:1705.02459, 2017.
R v Mises. On the asymptotic distribution of differentiable statistical functions. The annals of mathematical statistics, 18(3):309-348, 1947.
J. Pearl. Causal diagrams for empirical research. Biometrika, 82(4):669-710, 1995.
Judea Pearl. Causality: Models, Reasoning, and Inference. Cambridge University Press, New York, 2000. 2nd edition, 2009.