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Kosuke Imai
Kosuke Imai
Professor of Government and of Statistics, Harvard University
Bestätigte E-Mail-Adresse bei Harvard.Edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
51392007
MatchIt: Nonparametric preprocessing for parametric causal inference
DE Ho, K Imai, G King, E Stuart
Journal of Statistical Software 42 (8), 1-28, 2011
45202011
A general approach to causal mediation analysis
K Imai, L Keele, D Tingley
Psychological Methods 15 (4), 309-334, 2010
35732010
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
35292014
Redefine statistical significance
DJ Benjamin, JO Berger, M Johannesson, BA Nosek, EJ Wagenmakers, ...
Nature human behaviour 2 (1), 6-10, 2018
27572018
Identification, inference and sensitivity analysis for causal mediation effects
K Imai, L Keele, T Yamamoto
Statistical Science, 51-71, 2010
18882010
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
17862011
Covariate balancing propensity score
K Imai, M Ratkovic
Journal of the Royal Statistical Society, Series B (Statistical Methodology …, 2014
14292014
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
12462008
Causal inference with general treatment regimes
K Imai, DA Van Dyk
Journal of the American Statistical Association 99 (467), 854-866, 2004
11412004
Estimating Treatment Effect Heterogeneity in Randomized Program Evaluation
K Imai, M Ratkovic
Annals of Applied Statistics 7 (1), 443-470, 2013
8312013
Statistical analysis of list experiments
G Blair, K Imai
Political Analysis 20 (1), 47-77, 2012
7292012
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
5932021
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
5452013
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
5112013
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
4772008
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
4732019
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
4592009
Identification and sensitivity analysis for multiple causal mechanisms: revisiting evidence from framing experiments
K Imai, T Yamamoto
Political Analysis 21 (2), 141-171, 2013
4412013
Multivariate regression analysis for the item count technique
K Imai
Journal of the American Statistical Association 106 (494), 407-416, 2011
3942011
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