Kosuke Imai

发表

MatchIt: Nonparametric Preprocessing for Parametric Causal Inference

Gary King, Daniel E. Ho, Kosuke Imai, 2011 .

A New Automated Redistricting Simulator Using Markov Chain

Kosuke Imai, K. Imai, 2014 .

Comments: Improving Weighting Methods for Causal Mediation Analysis

Kosuke Imai, 2012 .

Introduction to Statistical Inference

Kosuke Imai, 2010 .

Causal Mediation Analysis Using R

Kosuke Imai, Dustin Tingley, Luke Keele, 2010 .

List Experiments with Measurement Error

Kosuke Imai, Graeme Blair, Winston Chou, 2019, Political Analysis.

Misunderstandings between experimentalists and observationalists about causal inference

Gary King, Kosuke Imai, Elizabeth A. Stuart, 2008 .

Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments

Kosuke Imai, Zhichao Jiang, 2020 .

Experimental Evaluation of Individualized Treatment Rules

Kosuke Imai, Michael Lingzhi Li, K. Imai, 2019, Journal of the American Statistical Association.

eco: R Package for Ecological Inference in 2x2 Tables

Ying Lu, Kosuke Imai, Aaron Strauss, 2011 .

Keyword Assisted Topic Model [R package keyATM version 0.3.1]

Kosuke Imai, Tomoya Sasaki, Shusei Eshima, 2020 .

Causal Inference With General Treatment Regimes

Kosuke Imai, David A van Dyk, K. Imai, 2004 .

Keyword Assisted Topic Models pdf

Kosuke Imai, Tomoya Sasaki, Shusei Eshima, 2020, ArXiv.

Statistical analysis of randomized experiments with non‐ignorable missing binary outcomes: an application to a voting experiment

Kosuke Imai, K. Imai, 2009 .

Toward a Common Framework for Statistical Analysis and Development

Gary King, Kosuke Imai, Olivia Lau, 2008 .

Designing and Analyzing Randomized Experiments: Application to a Japanese Election Survey Experiment

Kosuke Imai, Yusaku Horiuchi, Naoko Taniguchi, 2007 .

Causal Inference Lecture Notes : Causal Inference with Repeated Measures in Observational Studies

Kosuke Imai, 2013 .

Do Get-Out-the-Vote Calls Reduce Turnout? The Importance of Statistical Methods for Field Experiments

Kosuke Imai, K. Imai, 2005, American Political Science Review.

Identification and Sensitivity Analysis for Multiple Causal Mechanisms: Revisiting Evidence from Framing Experiments

Kosuke Imai, Teppei Yamamoto, K. Imai, 2013, Political Analysis.

Nonparametric Preprocessing for Parametric Causal Inference [R package MatchIt version 4.1.0]

Gary King, Daniel E. Ho, Kosuke Imai, 2020 .

Automated Redistricting Simulation Using Markov Chain Monte Carlo

Kosuke Imai, Alexander Tarr, Benjamin Fifield, 2020, Journal of Computational and Graphical Statistics.

mediation: R Package for Causal Mediation Analysis

Kosuke Imai, Dustin Tingley, Luke Keele, 2014 .

Multivariate Regression Analysis for the Item Count Technique

Kosuke Imai, K. Imai, 2011 .

Everyone's Statistical Software [R package Zelig version 5.1.7]

Gary King, Christine Choirat, Kosuke Imai, 2020 .

Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records

Kosuke Imai, Kabir Khanna, K. Imai, 2016, Political Analysis.

The Essential Role of Empirical Validation in Legislative Redistricting Simulation

Jun Kawahara, Kosuke Imai, Benjamin Fifield, 2020, ArXiv.

On the Use of Two-Way Fixed Effects Regression Models for Causal Inference with Panel Data

Kosuke Imai, In Song Kim, K. Imai, 2020, Political Analysis.

Design and Analysis of the Randomized Response Technique

Kosuke Imai, Graeme Blair, Yang-Yang Zhou, 2015 .

Misunderstandings About the Regression Discontinuity Design in the Study of Close Elections

Kosuke Imai, Brandon de la Cuesta, K. Imai, 2016 .

Causal Inference with Spatio-temporal Data: Estimating the Effects of Airstrikes on Insurgent Violence in Iraq

Kosuke Imai, Fan Li, Georgia Papadogeorgou, 2020 .

Estimating treatment effect heterogeneity in randomized program evaluation

Marc Ratkovic, Kosuke Imai, K. Imai, 2013, 1305.5682.

Covariate balancing propensity score for a continuous treatment: Application to the efficacy of political advertisements

Chad Hazlett, Kosuke Imai, Christian Fong, 2018 .

Zelig: Everyone's Statistical Software

Gary King, Kosuke Imai, Olivia Lau, 2006 .

A Statistical Method for Empirical Testing of Competing Theories

Kosuke Imai, Dustin Tingley, K. Imai, 2011 .

MNP: R Package for Fitting the Multinomial Probit Model

Kosuke Imai, David A. van Dyk, 2005 .

Simulation Methods for Legislative Redistricting [R package redist version 2.0.1]

Jun Kawahara, Kosuke Imai, Alexander Tarr, 2020 .

Experimental designs for identifying causal mechanisms

Kosuke Imai, Dustin Tingley, Teppei Yamamoto, 2013 .

Usando as respostas previsíveis da abordagem list-experiments como variáveis explicativas em modelos de regressão

Kosuke Imai, Bethany Park, Kenneth F. Greene, 2015 .

Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference

Gary King, Daniel E. Ho, Kosuke Imai, 2007, Political Analysis.

Fast Probabilistic Record Linkage with Missing Data [R package fastLink version 0.6.0]

Ted Enamorado, Kosuke Imai, Ben Fifield, 2020 .

Bayesian and Likelihood Inference for 2 × 2 Ecological Tables: An Incomplete-Data Approach

Ying Lu, Kosuke Imai, Aaron Strauss, 2007, Political Analysis.

Matching Methods for Causal Inference with Time‐Series Cross‐Sectional Data

Kosuke Imai, In Song Kim, Erik Wang, 2020, American Journal of Political Science.

Rejoinder: Matched Pairs and the Future of Cluster-Randomized Experiments

Gary King, Clayton Nall, Kosuke Imai, 2009, 0910.3758.

Causal Inference Lecture Notes: Covariate Adjustments in Randomized Experiments

Kosuke Imai, K. Imai, 2008 .

Using a Probabilistic Model to Assist Merging of Large-Scale Administrative Records

Ted Enamorado, Kosuke Imai, Benjamin Fifield, 2018, American Political Science Review.

Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans pdf

Kosuke Imai, Cory McCartan, 2020, ArXiv.

A sensitivity analysis for missing outcomes due to truncation by death under the matched‐pairs design

Kosuke Imai, Zhichao Jiang, Zhichao Jiang, 2018, Statistics in medicine.

Optimal Covariate Balancing Conditions in Propensity Score Estimation

Han Liu, Yang Ning, Kosuke Imai, 2021, Journal of Business & Economic Statistics.

Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts pdf

Kosuke Imai, Santiago Olivella, Tyler Pratt, 2021, Journal of the American Statistical Association.

Robustness of Empirical Evidence for the Democratic Peace: A Nonparametric Sensitivity Analysis

James Lo, Kosuke Imai, K. Imai, 2021, International Organization.

Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis

Lucas Janson, Kosuke Imai, Dae Woong Ham, 2022 .

Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment pdf

Kosuke Imai, Zhichao Jiang, Eli Ben-Michael, 2021, ArXiv.

Measuring and Modeling Neighborhoods pdf

Kosuke Imai, Cory McCartan, Jacob R. Brown, 2021, ArXiv.

Estimating Average Treatment Effects with Support Vector Machines

Kosuke Imai, Alexander Tarr, K. Imai, 2021, 2102.11926.

Covariate Balancing Propensity Score [R package CBPS version 0.22]

Marc Ratkovic, Kosuke Imai, Christian Fong, 2021 .

Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis

Kosuke Imai, Max Goplerud, Nicole E. Pashley, 2022 .

The Impact of the U.S. Census Disclosure Avoidance System on Redistricting and Voting Rights Analysis pdf

Kosuke Imai, Evan Rosenman, Shiro Kuriwaki, 2021, ArXiv.

Experimental Identification of Causal Mechanisms

Kosuke Imai, Dustin Tingley, Teppei Yamamoto, 2009 .

An Empirical Validation Study of Popular Survey Methodologies for Sensitive Questions

Kosuke Imai, Jacob N. Shapiro, K. Imai, 2016 .

mediation : R package for causal mediation analysis Citation

Kosuke Imai, Dustin Tingley, Luke Keele, 2014 .

Measuring the Economic Impact of Civil War

Kosuke Imai, J. Weinstein, K. Imai, 2000 .

Survey Sampling

Kosuke Imai, K. Imai, 1998, Nov/Dec 2017.

Applied Statistics Lecture Notes

Kosuke Imai, K. Imai, 2008 .

Sharp bounds on the causal effects in randomized experiments with "truncation-by-death"

Kosuke Imai, K. Imai, 2008 .

Statistical Analysis of Randomized Experiments with Nonignorable Missing Binary Outcomes

Kosuke Imai, 2007 .

Explaining Support for Combatants during Wartime: A Survey Experiment in Afghanistan

Kosuke Imai, Graeme Blair, Jason Lyall, 2013, American Political Science Review.

Unpacking the Black-Box: Learning about Causal Mechanisms from Experimental and Observational Studies

Kosuke Imai, Dustin Tingley, Luke Keele, 2011 .

On the Use of Linear Fixed Eects Regression Models for Causal Inference

Kosuke Imai, In Song Kim, K. Imai, 2012 .

Comment: The Challenges of Multiple Causes

Kosuke Imai, Zhichao Jiang, Zhichao Jiang, 2019, Journal of the American Statistical Association.

Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies

Kosuke Imai, Dustin Tingley, Luke Keele, 2011, American Political Science Review.

Randomization Inference With Natural Experiments

Daniel E. Ho, Kosuke Imai, Daniel E Ho, 2006 .

Experimental Designs for Identifying Causal Mechanisms (with discussions)

Kosuke Imai, Dustin Tingley, K. Imai, 2013 .

Estimating Causal Effects of Ballot Order from a Randomized Natural Experiment The California Alphabet Lottery, 1978–2002

Daniel E. Ho, Kosuke Imai, K. Imai, 2008 .

Randomization Inference with Natural Experiments: An Analysis of Ballot Effects in the 2003 California Recall Election

Daniel E. Ho, Kosuke Imai, K. Imai, 2004 .

The essential role of pair matching in cluster-randomized experiments, with application to the Mexican Universal Health Insurance Evaluation

Gary King, Clayton Nall, Kosuke Imai, 2009, 0910.3752.

Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity Score.

Yang Ning, Sida Peng, Kosuke Imai, 2018, 1812.08683.

Did Illegal Overseas Absentee Ballots Decide the 2000 U.S. Presidential Election?

Gary King, Kosuke Imai, G. King, 2004, Perspectives on Politics.

Commentary: Using Potential Outcomes to Understand Causal Mediation Analysis

Kosuke Imai, Elizabeth A. Stuart, Booil Jo, 2011 .

Comment on Pearl: Practical implications of theoretical results for causal mediation analysis.

Kosuke Imai, Dustin Tingley, Luke Keele, 2014, Psychological methods.

High Dimensional Propensity Score Estimation via Covariate Balancing

Yang Ning, Sida Peng, Kosuke Imai, 2017 .

Statistical Analysis of List Experiments

Kosuke Imai, Graeme Blair, K. Imai, 2012, Political Analysis.

(www.interscience.wiley.com) DOI: 10.1002/sim.3337 Variance identification and efficiency analysis in randomized experiments under the matched-pair design

Kosuke Imai, K. Imai, 2022 .

Causal Interaction in High-Dimension ∗

Kosuke Imai, Naoki Egami, K. Imai, 2015 .