Work

How Visualizing Inferential Uncertainty Can Mislead Readers About Treatment Effects in Scientific Results

Year: 2020

Type: conference-paper

Source: CHI Conference on Human Factors in Computing Systems

DOI: 10.1145/3313831.3376454

Authors: Jake M. Hofman, Daniel G. Goldstein, Jessica Hullman

Institutions: Microsoft Research New York City (United States), Northwestern University

Language: English

Topic: Data Visualization and Analytics

Subfield: Computer Graphics and Computer-Aided Design

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2990372444

FWCI: 4.334

Cites: 26

Cited by: 84

Related to: 10