Kosuke Imai

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Gary KingAlbert J Weatherhead III University Professor, Harvard UniversityVerified email at harvard.edu
Teppei YamamotoProfessor, Waseda UniversityVerified email at waseda.jp
Luke KeeleUniversity of PennsylvaniaVerified email at uphs.upenn.edu
Dustin TingleyProfessor of Government, Professor of Public Policy, Harvard UniversityVerified email at g.harvard.edu
Elizabeth A StuartProfessor and Chair of Biostatistics, Mental Health (joint), and Health Policy and Management (jointVerified email at jhsph.edu
Daniel E. HoStanford UniversityVerified email at law.stanford.edu
Graeme BlairAssociate Professor of Political Science, UCLAVerified email at ucla.edu
In Song KimAssociate Professor of Political Science, Massachusetts Institute of TechnologyVerified email at mit.edu
Jason LyallJames Wright Chair in Transnational Studies and Associate Professor of Government, Dartmouth CollegeVerified email at dartmouth.edu
Marc RatkovicAssistant Professor Politics, Princeton UniversityVerified email at princeton.edu
David A. van DykProfessor of Statistics, Imperial College LondonVerified email at imperial.ac.uk
Cory McCartanDepartment of Statistics, Penn State UniversityVerified email at psu.edu
Zhichao JiangSun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Clayton NallAssociate Professor of Political Science, UC Santa BarbaraVerified email at ucsb.edu
Ben FifieldDemography and Survey Science, MetaVerified email at fb.com
Christian FongUniversity of MichiganVerified email at umich.edu
Yang-Yang ZhouAssistant Professor, Dartmouth CollegeVerified email at dartmouth.edu
Jacob N. ShapiroProfessor of Politics and International Affairs, Princeton UniversityVerified email at princeton.edu
Chad HazlettUCLA, Dept. of Statistics, Dept. of Political ScienceVerified email at ucla.edu
Alexander TarrGraduate Student, Princeton UniversityVerified email at princeton.edu

Kosuke Imai

Professor of Government and of Statistics, Harvard University

Verified email at Harvard.Edu - Homepage

applied statistics causal inference computational social science quantitative social science political methodology


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Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference DE Ho, K Imai, G King, EA Stuart Political analysis 15 (3), 199-236, 2007	5275	2007
MatchIt: Nonparametric preprocessing for parametric causal inference DE Ho, K Imai, G King, E Stuart Journal of Statistical Software 42 (8), 1-28, 2011	4783	2011
mediation: R package for causal mediation analysis D Tingley, T Yamamoto, K Hirose, L Keele, K Imai Journal of Statistical Software 59 (5), 1-38, 2014	3777	2014
A general approach to causal mediation analysis K Imai, L Keele, D Tingley Psychological Methods 15 (4), 309-334, 2010	3697	2010
Redefine statistical significance DJ Benjamin, JO Berger, M Johannesson, BA Nosek, EJ Wagenmakers, ... Nature human behaviour 2 (1), 6-10, 2018	2853	2018
Identification, inference and sensitivity analysis for causal mediation effects K Imai, L Keele, T Yamamoto Statistical Science, 51-71, 2010	1975	2010
Unpacking the black box of causality: Learning about causal mechanisms from experimental and observational studies K Imai, L Keele, D Tingley, T Yamamoto American Political Science Review 105 (4), 765-789, 2011	1855	2011
Covariate balancing propensity score K Imai, M Ratkovic Journal of the Royal Statistical Society, Series B (Statistical Methodology …, 2014	1494	2014
Misunderstandings between experimentalists and observationalists about causal inference K Imai, G King, EA Stuart Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2008	1272	2008
Causal inference with general treatment regimes K Imai, DA Van Dyk Journal of the American Statistical Association 99 (467), 854-866, 2004	1164	2004
Estimating Treatment Effect Heterogeneity in Randomized Program Evaluation K Imai, M Ratkovic Annals of Applied Statistics 7 (1), 443-470, 2013	819	2013
Statistical analysis of list experiments G Blair, K Imai Political Analysis 20 (1), 47-77, 2012	754	2012
On the use of two-way fixed effects regression models for causal inference with panel data K Imai, IS Kim Political Analysis 29 (3), 405-415, 2021	669	2021
Explaining support for combatants during wartime: A survey experiment in Afghanistan J Lyall, G Blair, K Imai American Political Science Review 107 (4), 679-705, 2013	557	2013
Experimental designs for identifying causal mechanisms K Imai, D Tingley, T Yamamoto Journal of the Royal Statistical Society, Series A 176 (1), 5-51, 2013	539	2013
When Should We Use Linear Fixed Effects Regression Models for Causal Inference with Longitudinal Data? K Imai, IS Kim American Journal of Political Science 63 (2), 467-490, 2019	505	2019
Toward a common framework for statistical analysis and development K Imai, G King, O Lau Journal of Computational and Graphical Statistics 17 (4), 892-913, 2008	479	2008
Identification and sensitivity analysis for multiple causal mechanisms: revisiting evidence from framing experiments K Imai, T Yamamoto Political Analysis 21 (2), 141-171, 2013	468	2013
Public policy for the poor? A randomised assessment of the Mexican universal health insurance programme G King, E Gakidou, K Imai, J Lakin, RT Moore, C Nall, N Ravishankar, ... The Lancet 373 (9673), 1447-1454, 2009	464	2009
Multivariate regression analysis for the item count technique K Imai Journal of the American Statistical Association 106 (494), 407-416, 2011	399	2011

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