Identity uncertainty and citation matching H Pasula, B Marthi, B Milch, SJ Russell, I Shpitser Advances in neural information processing systems 15, 2002 | 422 | 2002 |
A new criterion for confounder selection TJ VanderWeele, I Shpitser Biometrics 67 (4), 1406-1413, 2011 | 362 | 2011 |
Identifiability of path-specific effects C Avin, I Shpitser, J Pearl | 354 | 2005 |
Identification of joint interventional distributions in recursive semi-Markovian causal models I Shpitser, J Pearl Proceedings of the National Conference on Artificial Intelligence 21 (2), 1219, 2006 | 302 | 2006 |
Fair inference on outcomes R Nabi, I Shpitser Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 296 | 2018 |
On the definition of a confounder TJ VanderWeele, I Shpitser Annals of statistics 41 (1), 196, 2013 | 290 | 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 | 269 | 2012 |
Identification of conditional interventional distributions I Shpitser, J Pearl arXiv preprint arXiv:1206.6876, 2012 | 228 | 2012 |
Complete identification methods for the causal hierarchy I Shpitser, J Pearl Journal of Machine Learning Research 9, 1941-1979, 2008 | 217 | 2008 |
On the validity of covariate adjustment for estimating causal effects I Shpitser, T VanderWeele, JM Robins arXiv preprint arXiv:1203.3515, 2012 | 179 | 2012 |
Counterfactual graphical models for longitudinal mediation analysis with unobserved confounding I Shpitser Cognitive science 37 (6), 1011-1035, 2013 | 105 | 2013 |
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 | 104 | 2023 |
What counterfactuals can be tested I Shpitser, J Pearl arXiv preprint arXiv:1206.5294, 2012 | 97 | 2012 |
Learning optimal fair policies R Nabi, D Malinsky, I Shpitser International Conference on Machine Learning, 4674-4682, 2019 | 77 | 2019 |
Effects of treatment on the treated: Identification and generalization I Shpitser, J Pearl arXiv preprint arXiv:1205.2615, 2012 | 71 | 2012 |
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 | 70 | 2021 |
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 | 63 | 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 | 59 | 2016 |
Introduction to nested Markov models I Shpitser, RJ Evans, TS Richardson, JM Robins Behaviormetrika 41, 3-39, 2014 | 59 | 2014 |
Estimation of a semiparametric natural direct effect model incorporating baseline covariates EJ Tchetgen Tchetgen, I Shpitser Biometrika 101 (4), 849-864, 2014 | 57* | 2014 |