Jasjeet Sekhon
Affiliations: | Statistics | University of California, Berkeley, Berkeley, CA, United States |
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"Jasjeet Sekhon"Children
Sign in to add trainee| Rocio Titiunik | grad student | 2009 | UC Berkeley |
| Luke W. Miratrix | grad student | 2012 | UC Berkeley (E-Tree) |
| Winston Lin | grad student | 2013 | UC Berkeley |
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Publications
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| D’Amour A, Ding P, Feller A, et al. (2020) Overlap in observational studies with high-dimensional covariates Journal of Econometrics |
| Künzel SR, Sekhon JS, Bickel PJ, et al. (2019) Metalearners for estimating heterogeneous treatment effects using machine learning. Proceedings of the National Academy of Sciences of the United States of America |
| Bloniarz A, Liu H, Zhang CH, et al. (2016) Lasso adjustments of treatment effect estimates in randomized experiments. Proceedings of the National Academy of Sciences of the United States of America. 113: 7383-90 |
| O'Neill S, Kreif N, Grieve R, et al. (2016) Estimating causal effects: considering three alternatives to difference-in-differences estimation. Health Services & Outcomes Research Methodology. 16: 1-21 |
| Hartman E, Grieve R, Ramsahai R, et al. (2015) From sample average treatment effect to population average treatment effect on the treated: Combining experimental with observational studies to estimate population treatment effects Journal of the Royal Statistical Society. Series a: Statistics in Society. 178: 757-778 |
| Kreif N, Gruber S, Radice R, et al. (2014) Evaluating treatment effectiveness under model misspecification: A comparison of targeted maximum likelihood estimation with bias-corrected matching. Statistical Methods in Medical Research |
| Miratrix LW, Sekhon JS, Yu B. (2013) Adjusting treatment effect estimates by post-stratification in randomized experiments Journal of the Royal Statistical Society. Series B: Statistical Methodology. 75: 369-396 |
| Kreif N, Grieve R, Radice R, et al. (2013) Regression-adjusted matching and double-robust methods for estimating average treatment effects in health economic evaluation Health Services and Outcomes Research Methodology. 13: 174-202 |
| Kreif N, Grieve R, Radice R, et al. (2012) Methods for estimating subgroup effects in cost-effectiveness analyses that use observational data. Medical Decision Making : An International Journal of the Society For Medical Decision Making. 32: 750-63 |
| Sekhon JS, Titiunik R. (2012) When natural experiments are neither natural nor experiments American Political Science Review. 106: 35-57 |