Getting the numbers right –common statistical misses in the news and in the lab
Ruth Etzioni, PhD
Professor, Fred Hutch
In this session we will review and discuss the common statistical mistakes made by the media as presented by Kristin Sainani in her Stanford Online class. Prior to the session, we will ask everyone to watch the class and bring questions – and your own examples – of statistical misses that you have witnessed or wondered about.
Ruth Etzioni is Professor in the Program in Biostatistics at Fred Hutch, and an Affiliate Professor of Biostatistics and Health services at the University of Washington. She co-leads the T32 program, “Developing Data-Driven Cancer Researchers,” and is co-author of the soon-to-be published Springer Nature textbook, “Statistics for Health Data Science: An Organic Approach.”
Please watch the required webinar Data Overload: Making Sense of Statistics in the News before attending the seminar. An additional optional reading, Spinning science: Overhyped headlines, snarled statistics lead readers astray, by Diane Mapes.