NIH VideoCast - How not to fool yourself with p-values and other statistic

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How not to fool yourself with p-values and other statistic

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Air date:	Thursday, August 17, 2017, 11:00:00 AM Time displayed is Eastern Time, Washington DC Local
Views:	Total views: 503 (67 Live, 436 On-demand)
Category:	Special
Runtime:	01:01:20
Closed captioning:	Check box to display CC outside of the video Note: You can drag the captioning window around and resize it
Description:	In 2016 the American Statistical Association published its first position paper on the use of p-values, and recently this year a group of statisticians and other researchers published a paper recommending a change to the traditional definition of statistical significance. This talk will discuss some of the p-values problems and solutions raised in these and other papers, illustrating the ideas through a series of examples of published studies. The need for more attention to the communication and "human factors" of statistics and data science will also be briefly discussed. Dr. Regina Nuzzo received her Ph.D. in statistics from Stanford University, post-doctoral training in the Music Cognition Lab at McGill University, and graduate science writing training at University of California, Santa Cruz. She is a professor at Gallaudet University in Washington, DC, and her writings about data, probability, and statistics have been published in Nature, New Scientist, Scientific American, and the New York Times, among others. Her Nature feature article about the P-value won the American Statistical Association’s 2014 Excellence in Statistical Reporting Award, and in 2015 she facilitated the ASA working group conference that produced the p-values consensus statement. For more information on Dr. Nuzzo's work see: http://www.nature.com/news/how-scientists-fool-themselves-and-how-they-can-stop-1.18517 https://scholar.google.com/citations?user=spEIyDMAAAAJ For more information go to http://cmn.nimh.nih.gov/workshops

Author:	Dr. Regina Nuzzo

CIT Live ID:	26200
Permanent link:	https://videocast.nih.gov/watch=26200

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