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Export 29 results:
Author Title [ Type(Asc)] Year
Filters: Author is Imai, Kosuke  [Clear All Filters]
Journal Article
Imai K.  2008.  Variance identification and efficiency analysis in randomized experiments under the matched-pair design. Statistics in medicine. 27:4857–4873.
Imai K, Keele L, Tingley D, Yamamoto T.  2011.  Unpacking the black box of causality: Learning about causal mechanisms from experimental and observational studies. American Political Science Review. 105:765–789.
Imai K.  2009.  Statistical analysis of randomized experiments with non-ignorable missing binary outcomes: an application to a voting experiment. Journal of the Royal Statistical Society: Series C (Applied Statistics). 58:83–104.
Blair G, Imai K.  2012.  Statistical analysis of list experiments. Political Analysis. 20:47–77.
Bullock W, Imai K, Shapiro JN.  2011.  Statistical analysis of endorsement experiments: Measuring support for militant groups in Pakistan. Political Analysis. 19:363–384.
Imai K.  2008.  Sharp bounds on the causal effects in randomized experiments with “truncation-by-death”. Statistics & probability letters. 78:144–149.
Imai K, King G, Nall C.  2009.  Rejoinder: Matched Pairs and the Future of Cluster-Randomized Experiments. Statistical Science. :65–72.
Ho DE, Imai K.  2006.  Randomization Inference With Natural Experiments: An Analysis of Ballot Effects in the 2003 California Recall Election. Journal of the American Statistical Association. 101
Harris-Lacewell M, Imai K, Yamamoto T.  2007.  Racial gaps in the responses to Hurricane Katrina: an experimental study. Princeton University.
King G, Gakidou E, Imai K, Lakin J, Moore RT, Nall C, Ravishankar N, Vargas M, Téllez-Rojo MMaría, Ávila JEugenio He et al..  2009.  Public policy for the poor? A randomised assessment of the Mexican universal health insurance programme The Lancet. 373:1447–1454.
King G, Gakidou E, Imai K, Lakin J, Moore RT, Nall C, Ravishankar N, Vargas M, Téllez-Rojo MMaría, Ávila JEugenio He et al..  2009.  Public policy for the poor? A randomised assessment of the Mexican universal health insurance programme The lancet. 373:1447–1454.
Goldstein DG, Imai K, Göritz AS, Gollwitzer PM.  2008.  Nudging turnout: Mere measurement and implementation planning of intentions to vote. Unpublished manuscript (London Business School).
Imai K, King G, Stuart EA.  2008.  Misunderstandings between experimentalists and observationalists about causal inference. Journal of the Royal Statistical Society: Series A (Statistics in Society). 171:481–502.
Imai K, Yamamoto T.  2013.  Identification and sensitivity analysis for multiple causal mechanisms: Revisiting evidence from framing experiments. Political Analysis. 21:141–171.
Imai K, Keele L, Tingley D.  2010.  A general approach to causal mediation analysis.. Psychological methods. 15:309.
Lyall J, Blair G, Imai K.  2013.  Explaining support for combatants during wartime: A survey experiment in Afghanistan. American Political Science Review. 107:679–705.
Imai K, Tingley D, Yamamoto T.  2013.  Experimental designs for identifying causal mechanisms. Journal of the Royal Statistical Society, Series A. 176:5–51.
Imai K, Strauss A.  2011.  Estimation of heterogeneous treatment effects from randomized experiments, with application to the optimal planning of the get-out-the-vote campaign. Political Analysis. 19:1–19.
Ho DE, Imai K.  2008.  Estimating causal effects of ballot order from a randomized natural experiment the California alphabet lottery, 1978–2002. Public Opinion Quarterly. 72:216–240.
Imai K, King G, Nall C.  2009.  The essential role of pair matching in cluster-randomized experiments, with application to the Mexican universal health insurance evaluation. Statistical Science. 24:29–53.
Imai K.  2005.  Do get-out-the-vote calls reduce turnout? The importance of statistical methods for field experiments American Political Science Review. 99:283–300.
Horiuchi Y, Imai K, Taniguchi N.  2007.  Designing and analyzing randomized experiments: Application to a Japanese election survey experiment. American Journal of Political Science. 51:669–687.

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