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Jasjeet Sekhon
Jasjeet Sekhon
Eugene Meyer Professor of Data Science, Political Science, and Statistics, Yale University
在 yale.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Multivariate and propensity score matching software with automated balance optimization: the matching package for R
JS Sekhon
Journal of Statistical Software, Forthcoming, 2008
19722008
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
13982013
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
10782019
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
9832011
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
5342011
Genetic optimization using derivatives: the rgenoud package for R
WR Mebane Jr, JS Sekhon
Journal of Statistical Software 42, 1-26, 2011
4472011
Opiates for the matches: Matching methods for causal inference
JS Sekhon
Annual Review of Political Science 12, 487-508, 2009
4452009
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
4172001
When natural experiments are neither natural nor experiments
JS Sekhon, R Titiunik
American Political Science Review 106 (1), 35-57, 2012
2692012
The neyman—rubin model of causal inference and estimation via matching methods
J Sekhon
2692008
Time-uniform, nonparametric, nonasymptotic confidence sequences
SR Howard, A Ramdas, J McAuliffe, J Sekhon
2572021
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
2492016
Endogeneity in probit response models
DA Freedman, JS Sekhon
Political Analysis 18 (2), 138-150, 2010
2262010
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
2132021
Genetic optimization using derivatives
JS Sekhon, WR Mebane
Political Analysis 7, 187-210, 1998
2121998
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
1992016
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
1942013
Quality meets quantity: Case studies, conditional probability, and counterfactuals
JS Sekhon
Perspectives on Politics 2 (2), 281-293, 2004
1772004
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
1762015
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
1752016
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