Multivariate and propensity score matching software with automated balance optimization: the matching package for R JS Sekhon Journal of Statistical Software, Forthcoming, 2008 | 1992 | 2008 |
Genetic matching for estimating causal effects: A general multivariate matching method for achieving balance in observational studies A Diamond, JS Sekhon Review of Economics and Statistics 95 (3), 932-945, 2013 | 1439 | 2013 |
Metalearners for estimating heterogeneous treatment effects using machine learning SR Künzel, JS Sekhon, PJ Bickel, B Yu Proceedings of the national academy of sciences 116 (10), 4156-4165, 2019 | 1165 | 2019 |
Referral to an extracorporeal membrane oxygenation center and mortality among patients with severe 2009 influenza A (H1N1) MA Noah, GJ Peek, SJ Finney, MJ Griffiths, DA Harrison, R Grieve, ... Jama 306 (15), 1659-1668, 2011 | 1001 | 2011 |
Elections and the regression discontinuity design: Lessons from close US house races, 1942–2008 D Caughey, JS Sekhon Political Analysis 19 (4), 385-408, 2011 | 540 | 2011 |
Genetic optimization using derivatives: the rgenoud package for R WR Mebane Jr, JS Sekhon Journal of Statistical Software 42, 1-26, 2011 | 451 | 2011 |
Opiates for the matches: Matching methods for causal inference JS Sekhon Annual Review of Political Science 12 (1), 487-508, 2009 | 448 | 2009 |
The butterfly did it: The aberrant vote for Buchanan in Palm Beach County, Florida JN Wand, KW Shotts, JS Sekhon, WR Mebane, MC Herron, HE Brady American political science review 95 (4), 793-810, 2001 | 422 | 2001 |
The neyman—rubin model of causal inference and estimation via matching methods J Sekhon | 287 | 2008 |
Time-uniform, nonparametric, nonasymptotic confidence sequences SR Howard, A Ramdas, J McAuliffe, J Sekhon | 276 | 2021 |
When natural experiments are neither natural nor experiments JS Sekhon, R Titiunik American Political Science Review 106 (1), 35-57, 2012 | 274 | 2012 |
Estimating causal effects: considering three alternatives to difference-in-differences estimation S O’Neill, N Kreif, R Grieve, M Sutton, JS Sekhon Health Services and Outcomes Research Methodology 16, 1-21, 2016 | 257 | 2016 |
Overlap in observational studies with high-dimensional covariates A D’Amour, P Ding, A Feller, L Lei, J Sekhon Journal of Econometrics 221 (2), 644-654, 2021 | 234 | 2021 |
Endogeneity in probit response models DA Freedman, JS Sekhon Political Analysis 18 (2), 138-150, 2010 | 227 | 2010 |
Genetic optimization using derivatives JS Sekhon, WR Mebane Political Analysis 7, 187-210, 1998 | 213 | 1998 |
Lasso adjustments of treatment effect estimates in randomized experiments A Bloniarz, H Liu, CH Zhang, JS Sekhon, B Yu Proceedings of the National Academy of Sciences 113 (27), 7383-7390, 2016 | 212 | 2016 |
Adjusting treatment effect estimates by post-stratification in randomized experiments LW Miratrix, JS Sekhon, B Yu Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2013 | 200 | 2013 |
From sample average treatment effect to population average treatment effect on the treated: combining experimental with observational studies to estimate population treatment … E Hartman, R Grieve, R Ramsahai, JS Sekhon Journal of the Royal Statistical Society Series A: Statistics in Society 178 …, 2015 | 183 | 2015 |
Challenges, solutions and future directions in the evaluation of service innovations in health care and public health R Raine, R Fitzpatrick, H Barratt, G Bevan, N Black, R Boaden, P Bower, ... Health Services and Delivery Research 4 (16), 2016 | 182 | 2016 |
Quality meets quantity: Case studies, conditional probability, and counterfactuals JS Sekhon Perspectives on Politics 2 (2), 281-293, 2004 | 181 | 2004 |