Journal

Journal of the Royal Statistical Society Series A (Statistics in Society)

ISSN 0964-1998 · Royal Statistical Society

OpenAlex S185328345

Published here

30 counted works of 30 linked

YearTitleAcademicsSources
2026 Donald P. Green’s and Jonas M. Mikhaeil’s contribution to the Discussion of ’Balanced and Robust Randomized Treatment Assignments’ by Chattopadhyay et al.’ Donald P. Green CV OA GS
2026 Sensitivity analysis for clustered observational studies with an application to the effectiveness of magnet nursing hospitals Melody Huang GS
2025 A calibrated BISG for inferring race from surname and geolocation Andrew Gelman CV OA GS
2025 Bayesian Safe Policy Learning with Chance Constrained Optimization: Application to Military Security Assessment during the Vietnam War Kosuke Imai CV OA GS
2025 Design sensitivity and its implications for weighted observational studies Melody Huang GS
2025 Hierarchical Bayesian models to mitigate systematic disparities in prediction with proxy outcomes Andrew Gelman CV OA GS
2025 Randomization Inference for Before-and-After Studies with Multiple Units: An Application to a Criminal Procedure Reform in Uruguay Rocío Titiunik CV OA GS
2024 Sensitivity analysis for the generalization of experimental results Melody Huang GS
2023 Authors’ Reply to the Discussion of ‘Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment’ Kosuke Imai CV OA GS
2023 Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Risk Assessment Instrument Kosuke Imai CV OA GS
2020 A Placebo Design to Detect Spillovers from an Education-Entertainment Experiment in Uganda Donald P. Green CV OA GS
2020 Identification and Sensitivity Analysis of Contagion Effects with Randomized Placebo-Controlled Trials Kosuke Imai CV OA GS
2019 Discussion on the meeting on ‘Data visualization’ Andrew Gelman GS
2019 Visualization in Bayesian workflow (with discussion and rejoinder) Andrew Gelman CV OA GS
2018 Legislative Behavior Absent Reelection Incentives: Findings from a Natural Experiment in the Arkansas Senate Rocío Titiunik CV OA GS
2017 Beyond subjective and objective in statistics (with discussion and rejoinder) Andrew Gelman CV OA GS
2015 Enhancing a Geographic Regression Discontinuity Design Through Matching to Estimate the Effect of Ballot Initiatives on Voter Turnout Rocío Titiunik CV OA GS
2015 Hierarchical models for estimating state and demographic trends in U.S. death penalty public opinion Andrew Gelman CV OA GS
2015 Response to “Statistical modelling of citation exchange between statistics journals” by Varin, C, Cattelan, M and Firth, D. Arthur Spirling CV OA
2013 Discussion on the Paper by Best, Ashby, Dunstan, Foreman and McIntosh Andrew Gelman GS
2013 Discussion on the paper by Imai, Tingley and Yamamoto Andrew Gelman; Donald P. Green GS
2013 Experimental Designs for Identifying Causal Mechanisms Dustin Tingley; Kosuke Imai CV OA GS
2013 Reply to Discussions of ’Experimental Designs for Identifying Causal Mechanisms”’ Dustin Tingley CV
2013 Reply to Discussions of “Experimental Designs for Identifying Causal Mechanisms” Kosuke Imai CV OA GS
2012 Discussion on the paper by Rice, Robone and Smith Andrew Gelman GS
2008 Misunderstandings among Experimentalists and Observationalists: Balance Test Fallacies in Causal Inference Gary King; Kosuke Imai CV OA GS
2004 Discussion on the paper by Wakefield Gary King OA GS
2004 Finding New Information for Ecological Inference Models: A Comment on Jon Wakefield, ‘Ecological Inference in 2 × 2 Tables’ Gary King CV GS
2001 Models, assumptions, and model checking in ecological regressions Stephen Daniel Ansolabehere; Andrew Gelman CV OA GS
1977 Credibility—Theory and Applications Julia Gray GS