Journal

Journal of the American Statistical Association

ISSN 0162-1459

OpenAlex S4394736638

Published here

49 counted works of 53 linked

YearTitleAcademicsSources
Identifying Intra-Party Voting Blocs in the UK House of Commons Arthur Spirling CV
2026 Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments. in progress Kosuke Imai CV OA GS
2025 Estimating Racial Disparities When Race is Not Observed Kosuke Imai CV OA GS
2025 Safe policy learning through extrapolation: Application to pre-trial risk assessment related record Kosuke Imai GS
2025 Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment Kosuke Imai CV OA GS
2024 An Automated Approach to Causal Inference in Discrete Settings. Jonathan Mummolo CV OA GS
2024 Policy Learning with Counterfactual Asymmetric Utilities Kosuke Imai CV OA GS
2023 Experimental Evaluation of Individualized Treatment Rules Kosuke Imai CV GS
2022 Dynamic stochastic blockmodel regression for network data: Application to international militarized conflicts Kosuke Imai GS
2022 Dynamic Stochastic Blockmodel Regression for Social Networks: Application to International Conflicts Kosuke Imai CV OA GS
2021 Causal Inference with Interference and Noncompliance in the Two-Stage Randomized Experiments Kosuke Imai CV OA GS
2021 Extrapolating Treatment Effects in Multi-cutoff Regression Discontinuity Designs Rocío Titiunik CV OA GS
2021 Prediction Intervals for Synthetic Control Methods Rocío Titiunik CV OA GS
2021 What are the most important statistical ideas of the past 50 years? Andrew Gelman CV OA GS
2020 Review: The Book of Why P. M. Aronow CV
2020 The Book of Why: The New Science of Cause and Effect: Judea Pearl and Dana Mackenzie. New York: Basic Books, 2018, x+ 418 pp., $32.00 (H), ISBN: 978-0-46-509760-9. P. M. Aronow GS
2019 Causal interaction in factorial experiments: Application to conjoint analysis related record Kosuke Imai GS
2019 Causal Interaction in Factorial Experiments: Application to Conjoint Analysis Kosuke Imai CV OA GS
2019 Comment: The challenges of multiple causes Kosuke Imai GS
2019 Comment: The Challenges of Multiple Causes Kosuke Imai CV OA GS
2018 Disentangling bias and variance in election polls Andrew Gelman CV OA GS
2017 Some natural solutions to the p-value communication problem—and why they won’t work Andrew Gelman CV OA GS
2016 Book Review of Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction. by Guido W. Imbens and Donald B. Rubin Kosuke Imai CV GS
2015 A model-based approach to climate reconstruction using tree-ring data Andrew Gelman CV OA GS
2015 Design and Analysis of the Randomized Response Technique Yang-Yang Zhou; Kosuke Imai CV OA GS
2015 Optimal Data-Driven Regression Discontinuity Plots Rocío Titiunik CV OA GS
2015 Robust Estimation of Inverse Probability Weights for Marginal Structural Models Kosuke Imai CV OA GS
2014 Bootstrap averaging: Examples where it works and where it doesn’t work Andrew Gelman CV OA GS
2011 Multivariate Matching Methods That are Monotonic Imbalance Bounding Gary King CV OA GS
2011 Multivariate Regression Analysis for the Item Count Technique Kosuke Imai CV OA GS
2010 Identifying Intraparty Voting Blocs in the U.K. House of Commons Arthur Spirling OA GS
2010 Scaling the Critics: Uncovering the Latent Dimensions of Movie Criticism With an Item Response Approach Arthur Spirling CV OA GS
2008 Estimating Incumbency Advantage and its Variation,as an Example of a Before-After Study Andrew Gelman OA GS
2008 Estimating incumbency advantage and its variation, as an example of a before/after study (with discussion and rejoinder) Andrew Gelman CV OA GS
2007 An analysis of the NYPD’s stop-and-frisk policy in the context of claims of racial bias Andrew Gelman CV OA GS
2007 On the Estimation of Disability-Free Life Expectancy: Sullivan’s Method and Its Extension Kosuke Imai CV OA GS
2006 Applications and Case Studies-Randomization Inference With Natural Experiments: An Analysis of Ballot Effects in the 2003 California Recall Election Kosuke Imai GS
2006 How many people do you know in prison?: Using overdispersion in count data to estimate social structure in networks Andrew Gelman CV OA GS
2006 Randomization Inference with Natural Experiments: An Analysis of Ballot Effects in the 2003 California Recall Election Kosuke Imai CV OA GS
2004 Causal Inference With General Treatment Regimes: Generalizing the Propensity Score Kosuke Imai CV OA GS
2004 Parameterization and Bayesian modeling Andrew Gelman CV OA GS
2001 Post-stratification without population level information on the post-stratifying variable, with application to political polling Andrew Gelman CV OA GS
2000 Statistics in sociology, 1950-2000 Adrian E Raftery Gary King GS
1999 Comment on “Review of ‘A Solution to the Ecological Inference Problem’” Gary King GS
1999 Not Asked and Not Answered: Multiple Imputation for Multiple Surveys Andrew Gelman; Gary King CV OA GS
1998 A Solution to the Ecological Inference Problem Gary King OA GS
1998 Estimating the probability of events that have never occurred: When is your vote decisive? Andrew Gelman; Gary King CV OA GS
1998 Estimating the Probability of Events That Have Never Occurred: When Is Your Vote Decisive? related record Gary King; Andrew Gelman OA GS
1997 Discussion of “Analysis of non-randomly censored ordered categorical longitudinal data from analgesic trials,” by L. B. Sheiner, S. L. Beal, and A. Dunne Andrew Gelman CV OA GS
1996 Physiological pharmacokinetic analysis using population modeling and informative prior distributions Andrew Gelman CV OA GS
1994 Discussion of “Approximate Bayesian inference and the weighted likelihood bootstrap,” by M. A. Newton and A. E. Raftery Andrew Gelman CV
1994 Discussion of “A probabilistic model for the spatial distribution of party support in multiparty elections,” by S. Merrill Andrew Gelman CV OA
1990 Estimating the electoral consequences of legislative redistricting Andrew Gelman; Gary King CV OA GS