Jasjeet Sekhon

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Medförfattare

Richard GrieveProfessor of Health Economics MethodologyVerifierad e-postadress på lshtm.ac.uk
Rocío TitiunikPrinceton UniversityVerifierad e-postadress på princeton.edu
Devin CaugheyAssociate Professor, MITVerifierad e-postadress på mit.edu
Alexis DiamondMinerva Schools at KGIVerifierad e-postadress på minerva.kgi.edu
Sören Reinhold KünzelPhD Student at UC BerkeleyVerifierad e-postadress på berkeley.edu
Bin YUProfessor of Statistics and EECS, UC BerkeleyVerifierad e-postadress på stat.berkeley.edu
David A. Freedman 1938--2008Professor of Statistics and Mathematics, University of California, BerkeleyVerifierad e-postadress på stat.berkeley.edu
Erin HartmanUCLAVerifierad e-postadress på ucla.edu
Luke MiratrixHarvard UniversityVerifierad e-postadress på stat.harvard.edu
Mark van der LaanJiann-Ping Hsu/Karl E. Peace Professor of Biostatistics & Statistics, University of California BerkeleyVerifierad e-postadress på berkeley.edu
Aaditya RamdasStatistics and Machine Learning, Carnegie Mellon UniversityVerifierad e-postadress på stat.cmu.edu
Jon McAuliffeProfessor (Adj.) of Statistics, University of California, BerkeleyVerifierad e-postadress på stat.berkeley.edu
David E. BroockmanAssociate Professor, University of California, BerkeleyVerifierad e-postadress på berkeley.edu
Joshua KallaAssistant Professor, Yale UniversityVerifierad e-postadress på yale.edu
peter bickelProfessor of Statistics, UC BerkeleyVerifierad e-postadress på stat.berkeley.edu
Fredrik SävjeAssistant professor, Yale UniversityVerifierad e-postadress på yale.edu
Alexander TheodoridisUniversity of Massachusetts AmherstVerifierad e-postadress på umass.edu
Bradly StadieResearch Assistant Professor, TTICVerifierad e-postadress på ttic.edu
Pieter AbbeelUC Berkeley | Covariant.AIVerifierad e-postadress på cs.berkeley.edu

Jasjeet Sekhon

Eugene Meyer Professor of Data Science, Political Science, and Statistics, Yale University

Verifierad e-postadress på yale.edu - Startsida

Causal Inference Applied Statistics Machine Learning Quantitative Social Science


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Multivariate and propensity score matching software with automated balance optimization: the matching package for R JS Sekhon Journal of Statistical Software, Forthcoming, 2008	1505	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	975	2013
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	797	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	443	2011
Opiates for the matches: Matching methods for causal inference JS Sekhon Annual Review of Political Science 12, 487-508, 2009	375	2009
The butterfly did it: The aberrant vote for Buchanan in Palm Beach County, Florida JN Wand, KW Shotts, JS Sekhon, WR Mebane Jr, MC Herron, HE Brady American Political Science Review, 793-810, 2001	352	2001
Genetic optimization using derivatives: the rgenoud package for R WR Mebane Jr, JS Sekhon Journal of Statistical Software 42 (11), 1-26, 2011	347	2011
Statistical models and causal inference: a dialogue with the social sciences DA Freedman Cambridge University Press, 2010	248	2010
When natural experiments are neither natural nor experiments JS Sekhon, R Titiunik American Political Science Review, 35-57, 2012	206	2012
Endogeneity in probit response models DA Freedman, JS Sekhon Political Analysis, 138-150, 2010	182	2010
The Neyman-Rubin model of causal inference and estimation via matching methods JS Sekhon The Oxford handbook of political methodology 2, 1-32, 2008	182	2008
Genetic optimization using derivatives JS Sekhon, WR Mebane Jr Political Analysis, 187-210, 1998	180	1998
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	179	2019
Quality meets quantity: Case studies, conditional probability, and counterfactuals JS Sekhon Perspectives on Politics, 281-293, 2004	147	2004
Black candidates and black voters: Assessing the impact of candidate race on uncounted vote rates MC Herron, JS Sekhon The Journal of Politics 67 (1), 154-177, 2005	131	2005
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), 1-21, 2016	129	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	129	2013
Cemented, cementless, and hybrid prostheses for total hip replacement: cost effectiveness analysis M Pennington, R Grieve, JS Sekhon, P Gregg, N Black, ... Bmj 346, 2013	115	2013
Robust estimation and outlier detection for overdispersed multinomial models of count data WR Mebane Jr, JS Sekhon American Journal of Political Science 48 (2), 392-411, 2004	110	2004
The relative performance of targeted maximum likelihood estimators KE Porter, S Gruber, MJ Van Der Laan, JS Sekhon The international journal of biostatistics 7 (1), 0000102202155746791308, 2011	97	2011

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