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Psychological Bulletin|April 3, 2013
Reasoning about causal relationships: Inferences on causal networksBenjamin Margolin Rottman, Reid HastieMemory & Cognition|October 19, 2016
Physician Bayesian updating from personal beliefs about the base rate and likelihood ratioBenjamin Margolin RottmanCognitive Psychology|January 24, 2018
How people learn about causal influence when there are many possible causes: A model based on informative transitionsCory Derringer, Benjamin Margolin RottmanPsychonomic Bulletin & Review|December 8, 2009
Causal learning about tolerance and sensitizationBenjamin Margolin Rottman, Woo-Kyoung AhnJournal of Experimental Psychology. Learning, Memory, and Cognition|August 10, 2011
Effect of grouping of evidence types on learning about interactions between observed and unobserved causesBenjamin Margolin Rottman, Woo-kyoung AhnCognition|May 23, 2021
The placebo effect: To explore or to exploit?Kirsten Barnes, Benjamin Margolin Rottman, Ben ColagiuriCognitive Research: Principles and Implications|February 10, 2017
Bayesian reasoning in residents' preliminary diagnosesBenjamin Margolin Rottman, Micah T Prochaska, Roderick Corro DeañoHealth Psychology Review|October 7, 2016
Medication adherence as a learning process: insights from cognitive psychologyBenjamin Margolin Rottman, Zachary A Marcum, Carolyn T Thorpe, et al.Psychological Review|March 24, 2005
The robust beauty of majority rules in group decisionsReid Hastie, Tatsuya KamedaCognitive Science|January 21, 2023
Predicting Outcomes in a Sequence of Binary Events: Belief Updating and Gambler's Fallacy ReasoningKariyushi Rao, Reid HastiePageof 3