A new criterion for confounder selection TJ Vander Weele, I Shpitser Biometrics 67 (4), 1406-1413, 2011 | 467 | 2011 |
Identity uncertainty and citation matching H Pasula, B Marthi, B Milch, SJ Russell, I Shpitser Advances in neural information processing systems 15, 2002 | 434 | 2002 |
Identifiability of path-specific effects C Avin, I Shpitser, J Pearl | 426 | 2005 |
Fair inference on outcomes R Nabi, I Shpitser Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 422 | 2018 |
Identification of joint interventional distributions in recursive semi-Markovian causal models I Shpitser, J Pearl AAAI, 1219-1226, 2006 | 383 | 2006 |
On the definition of a confounder TJ VanderWeele, I Shpitser Annals of statistics 41 (1), 196, 2013 | 371 | 2013 |
Semiparametric theory for causal mediation analysis: efficiency bounds, multiple robustness, and sensitivity analysis EJT Tchetgen, I Shpitser Annals of statistics 40 (3), 1816, 2012 | 356 | 2012 |
Complete identification methods for the causal hierarchy I Shpitser, J Pearl | 300 | 2008 |
Identification of conditional interventional distributions I Shpitser, J Pearl arXiv preprint arXiv:1206.6876, 2012 | 268 | 2012 |
On the validity of covariate adjustment for estimating causal effects I Shpitser, T VanderWeele, JM Robins arXiv preprint arXiv:1203.3515, 2012 | 239 | 2012 |
Nested Markov properties for acyclic directed mixed graphs TS Richardson, RJ Evans, JM Robins, I Shpitser The Annals of Statistics 51 (1), 334-361, 2023 | 137 | 2023 |
What counterfactuals can be tested I Shpitser, J Pearl arXiv preprint arXiv:1206.5294, 2012 | 135 | 2012 |
Counterfactual graphical models for longitudinal mediation analysis with unobserved confounding I Shpitser Cognitive science 37 (6), 1011-1035, 2013 | 123 | 2013 |
Learning optimal fair policies R Nabi, D Malinsky, I Shpitser International Conference on Machine Learning, 4674-4682, 2019 | 118 | 2019 |
Auto-g-computation of causal effects on a network EJ Tchetgen Tchetgen, IR Fulcher, I Shpitser Journal of the American Statistical Association 116 (534), 833-844, 2021 | 109 | 2021 |
A systematic review of robustness in deep learning for computer vision: Mind the gap? N Drenkow, N Sani, I Shpitser, M Unberath arXiv preprint arXiv:2112.00639, 2021 | 101 | 2021 |
Effects of treatment on the treated: Identification and generalization I Shpitser, J Pearl arXiv preprint arXiv:1205.2615, 2012 | 88 | 2012 |
Challenges of using text classifiers for causal inference Z Wood-Doughty, I Shpitser, M Dredze Proceedings of the Conference on Empirical Methods in Natural Language …, 2018 | 83 | 2018 |
Cardiovascular risk prevention and all-cause mortality in primary care patients with an abdominal aortic aneurysm SS Bahia, A Vidal-Diez, SRK Seshasai, I Shpitser, JR Brownrigg, ... Journal of British Surgery 103 (12), 1626-1633, 2016 | 81 | 2016 |
Introduction to nested Markov models I Shpitser, RJ Evans, TS Richardson, JM Robins Behaviormetrika 41, 3-39, 2014 | 77 | 2014 |