How Visualizing Inferential Uncertainty Can Mislead Readers About Treatment Effects in Scientific Results - researchr publication authors

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Jake M. Hofman, Daniel G. Goldstein, Jessica Hullman. How Visualizing Inferential Uncertainty Can Mislead Readers About Treatment Effects in Scientific Results. In Regina Bernhaupt, Florian 'Floyd' Mueller, David Verweij, Josh Andres, Joanna McGrenere, Andy Cockburn, Ignacio Avellino, Alix Goguey, Pernille Bjøn, Shengdong Zhao, Briane Paul Samson, Rafal Kocielnik, editors, CHI '20: CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA, April 25-30, 2020. pages 1-12, ACM, 2020. [doi]

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