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[ Author(Desc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
I
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.  2010.  A general approach to causal mediation analysis.. Psychological methods. 15:309.
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.
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.
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, King G, Nall C.  2009.  Rejoinder: Matched Pairs and the Future of Cluster-Randomized Experiments. Statistical Science. :65–72.
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.
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.  2007.  Identification analysis for randomized experiments with noncompliance and truncation by death.
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, 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.  2008.  Sharp bounds on the causal effects in randomized experiments with “truncation-by-death”. Statistics & probability letters. 78:144–149.
Imai K, Tingley D, Yamamoto T.  2013.  Experimental designs for identifying causal mechanisms. Journal of the Royal Statistical Society, Series A. 176:5–51.

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