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Psychological Methods|April 1, 2021
Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sampleLauren Kennedy, Andrew GelmanBayesian Analysis|June 20, 2022
Improving multilevel regression and poststratification with structured priorsYuxiang Gao, Lauren Kennedy, Daniel Simpson, et al.Statistics in Medicine|December 26, 2023
Using leave-one-out cross validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary taleSwen Kuh, Lauren Kennedy, Qixuan Chen, et al.The Behavioral and Brain Sciences|May 9, 2019
Don't characterize replications as successes or failuresAndrew GelmanStatistics in Medicine|October 26, 2007
Scaling regression inputs by dividing by two standard deviationsAndrew GelmanPersonality & Social Psychology Bulletin|September 16, 2017
The Failure of Null Hypothesis Significance Testing When Studying Incremental Changes, and What to Do About ItAndrew GelmanThe Behavioral and Brain Sciences|February 10, 2022
Mismatch between scientific theories and statistical modelsAndrew GelmanThe Behavioral and Brain Sciences|May 16, 2013
Does quantum uncertainty have a place in everyday applied statistics?Andrew Gelman, Michael BetancourtThe Behavioral and Brain Sciences|January 21, 2016
Political attitudes in social environmentsAndrew Gelman, Neil GrossJournal of the Royal Statistical Society. Series C, Applied Statistics|May 30, 2023
Bayesian Analysis of Tests with Unknown Specificity and SensitivityAndrew Gelman, Bob CarpenterPageof 10