Search Results - "IMAI, KOSUKE"

Covariate balancing propensity score by Imai, Kosuke, Ratkovic, Marc

“…The propensity score plays a central role in a variety of causal inference settings. In particular, matching and weighting methods based on the estimated…”
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mediation : R Package for Causal Mediation Analysis by Tingley, Dustin, Yamamoto, Teppei, Hirose, Kentaro, Keele, Luke, Imai, Kosuke

“…In this paper, we describe the R package mediation for conducting causal mediation analysis in applied empirical research. In many scientific disciplines, the…”
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A General Approach to Causal Mediation Analysis by Imai, Kosuke, Keele, Luke, Tingley, Dustin

“…Traditionally in the social sciences, causal mediation analysis has been formulated, understood, and implemented within the framework of linear structural…”
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COVARIATE BALANCING PROPENSITY SCORE FOR A CONTINUOUS TREATMENT: APPLICATION TO THE EFFICACY OF POLITICAL ADVERTISEMENTS by Fong, Christian, Hazlett, Chad, Imai, Kosuke

“…Propensity score matching and weighting are popular methods when estimating causal effects in observational studies. Beyond the assumption of unconfoundedness,…”
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Identification and Sensitivity Analysis for Multiple Causal Mechanisms: Revisiting Evidence from Framing Experiments by Imai, Kosuke, Yamamoto, Teppei

“…Social scientists are often interested in testing multiple causal mechanisms through which a treatment affects outcomes. A predominant approach has been to use…”
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Statistical Analysis of List Experiments by Blair, Graeme, Imai, Kosuke

“…The validity of empirical research often relies upon the accuracy of self-reported behavior and beliefs. Yet eliciting truthful answers in surveys is…”
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Multivariate Regression Analysis for the Item Count Technique by IMAI, Kosuke

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Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies by IMAI, KOSUKE, KEELE, LUKE, TINGLEY, DUSTIN, YAMAMOTO, TEPPEI

“…Identifying causal mechanisms is a fundamental goal of social science. Researchers seek to study not only whether one variable affects another but also how…”
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Explaining Support for Combatants during Wartime: A Survey Experiment in Afghanistan by LYALL, JASON, BLAIR, GRAEME, IMAI, KOSUKE

“…How are civilian attitudes toward combatants affected by wartime victimization? Are these effects conditional on which combatant inflicted the harm? We…”
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Identification, Inference and Sensitivity Analysis for Causal Mediation Effects by Imai, Kosuke, Keele, Luke, Yamamoto, Teppei

“…Causal mediation analysis is routinely conducted by applied researchers in a variety of disciplines. The goal of such an analysis is to investigate alternative…”
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Keyword‐Assisted Topic Models by Eshima, Shusei, Imai, Kosuke, Sasaki, Tomoya

“…In recent years, fully automated content analysis based on probabilistic topic models has become popular among social scientists because of their scalability…”
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Robust Estimation of Inverse Probability Weights for Marginal Structural Models by Imai, Kosuke, Ratkovic, Marc

“…Marginal structural models (MSMs) are becoming increasingly popular as a tool for causal inference from longitudinal data. Unlike standard regression models,…”
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Misunderstandings About the Regression Discontinuity Design in the Study of Close Elections by de la Cuesta, Brandon, Imai, Kosuke

“…Recently, the regression discontinuity (RD) design has become increasingly popular among social scientists. One prominent application is the study of close…”
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MatchIt : Nonparametric Preprocessing for Parametric Causal Inference by Ho, Daniel E., Imai, Kosuke, King, Gary, Stuart, Elizabeth A.

“…MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2007) for improving parametric statistical models by preprocessing data with nonparametric…”
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Automated Redistricting Simulation Using Markov Chain Monte Carlo by Fifield, Benjamin, Higgins, , Michael, Imai, Kosuke, Tarr, Alexander

“…Legislative redistricting is a critical element of representative democracy. A number of political scientists have used simulation methods to sample…”
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Comparing and Combining List and Endorsement Experiments: Evidence from Afghanistan by Blair, Graeme, Imai, Kosuke, Lyall, Jason

“…List and endorsement experiments are becoming increasingly popular among social scientists as indirect survey techniques for sensitive questions. When studying…”
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14th Annual University of Pennsylvania Conference on statistical issues in clinical trials/subgroup analysis in clinical trials: Opportunities and challenges (afternoon panel discussion) by Imai, Kosuke, Rosenblum, Michael, Rothmann, Mark

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Sensitive Survey Questions with Auxiliary Information by Chou, Winston, Imai, Kosuke, Rosenfeld, Bryn

“…Scholars increasingly rely on indirect questioning techniques to reduce social desirability bias and item nonresponse for sensitive survey questions. The major…”
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Neyman meets causal machine learning: Experimental evaluation of individualized treatment rules by Li, Michael Lingzhi, Imai, Kosuke

“…A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical…”
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Redefine statistical significance by Benjamin, Daniel J., Berger, James O., Johannesson, Magnus, Nosek, Brian A., Wagenmakers, E.-J., Berk, Richard, Bollen, Kenneth A., Brembs, Björn, Brown, Lawrence, Camerer, Colin, Cesarini, David, Chambers, Christopher D., Clyde, Merlise, Cook, Thomas D., De Boeck, Paul, Dienes, Zoltan, Dreber, Anna, Easwaran, Kenny, Efferson, Charles, Fehr, Ernst, Fidler, Fiona, Field, Andy P., Forster, Malcolm, George, Edward I., Gonzalez, Richard, Goodman, Steven, Green, Edwin, Green, Donald P., Greenwald, Anthony G., Hadfield, Jarrod D., Hedges, Larry V., Held, Leonhard, Hua Ho, Teck, Hoijtink, Herbert, Hruschka, Daniel J., Imai, Kosuke, Imbens, Guido, Ioannidis, John P. A., Jeon, Minjeong, Jones, James Holland, Kirchler, Michael, Laibson, David, List, John, Little, Roderick, Lupia, Arthur, Machery, Edouard, Maxwell, Scott E., McCarthy, Michael, Moore, Don A., Morgan, Stephen L., Munafó, Marcus, Nakagawa, Shinichi, Nyhan, Brendan, Parker, Timothy H., Pericchi, Luis, Perugini, Marco, Rouder, Jeff, Rousseau, Judith, Savalei, Victoria, Schönbrodt, Felix D., Sellke, Thomas, Sinclair, Betsy, Tingley, Dustin, Van Zandt, Trisha, Vazire, Simine, Watts, Duncan J., Winship, Christopher, Wolpert, Robert L., Xie, Yu, Young, Cristobal, Zinman, Jonathan, Johnson, Valen E.

“…We propose to change the default P -value threshold for statistical significance from 0.05 to 0.005 for claims of new discoveries…”
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