In response to the discussion at a conference two years ago that focused on the merit of using p-value, the ASA published the statement, "The ASA's Statement on p-Values: Context, Process, and Purpose".
Since that time, many statisticians have been thinking and writing about alternatives to the traditional p-value.
This work has culminated in the publication of a special edition of the American Statistician. The title of this special issue is "Statistical Inference in the 21st Century: A World Beyond p < 0.05"
This special issue features 43 papers on alternatives to p-values.
This webinar features speakers that will focus on providing a synopsis of these alternative ideas and the discussion that surrounds these ideas.
PLEASE NOTE: This event will be recorded. The recording will be made available on this website.
12:00 Esra Kurum, (University of California, Riverside)
Introductions and moderator guidelines
12:05 Nicole Lazar, (University of Georgia)
"History of the topic and the motivation for American Statistical Association's and The American Statistician's involvement in this topic"
12:25 Daniel Jeske, (University of California, Riverside)
"Technical overview of some of the alternative procedures found in the special issue of The American Statistician."
12:55 Jessica Utts, (University of California, Irvine)
"How we might teach and influence inter–disciplinary collaborations"
1:15 Nell Sedransk, (Director-DC, National Institute of Statistical Science)
"Translation to other contexts: social science and big data research"
1:30 Q & A from the audience and speakers
Nicole Lazar is Professor of Statistics at the University of Georgia. She received her undergraduate degree in Psychology and Statistics from Tel Aviv University, MS in Statistics from Stanford University, and PhD in Statistics from the University of Chicago. She was on the faculty of Carnegie Mellon University until 2004, moving in that year to the University of Georgia. Professor Lazar is an Elected Member of the International Statistical Institute and a Fellow of the American Statistical Association, as well as past Editor-in-Chief of The American Statistician. She is currently also serving as President of the Caucus for Women in Statistics.
Daniel Jeske is a Professor in the Department of Statistics at the University of California, Riverside (USA), where he served as the department chair during 2008-2015. He is an elected fellow of the American Statistical Association and served on the board of directors during 2014-2016 He is the Vice-President of Membership for the International Society of Business and Industrial Statistics (ISBIS), a society of the International Statistical Institute (ISI). He was an Associate Editor for The American Statistician for 8 years before becoming Editor-in-Chief in 2018. He is an Associate Editor for Applied Stochastic Models in Business and Industry and a member of the Program Affiliates Committee of the National Institute of Statistical Sciences (NISS). His research interests include classification and prediction methodologies, longitudinal data modeling, statistical process control methodologies, biostatistics applications, and reliability modeling.
Jessica Utts is a Professor Emerita in the Department of Statistics at University of California, Irvine and was the 2016 President of the American Statistical Association. She served as Chair of the UCI Statistics Department for 5 years, and led the department in initiating a major in Data Science. Her honors include being an elected Fellow of the ASA, the Institute of Mathematical Statistics, the American Association for the Advancement of Science, and the Association for Psychological Science. She is the recipient of the ASA Founder’s Award, the IMS Harry C. Carver Medal, the Distinguished Service Award for the National Institute of Statistical Sciences, and two awards for distinguished teaching. She has served as President of the Western North American Region of the International Biometric Society (WNAR), Chair of the Committee of Presidents of Statistical Societies (COPSS), and is currently on the Council of the International Statistical Institute (ISI). She has a long-standing interest in promoting statistical literacy, and has published three statistics textbooks with that emphasis. In addition to statistics education her research involves applications of statistics to a variety of areas, most notably parapsychology, for which she has appeared on TV shows including Larry King Live, Nightline and CNN News.
Nell Sedransk is the Director of the DC Office of the National Institute of Statistical Sciences, (NISS) and Professor of Statistics at North Carolina State University. She is an Elected Member of the International Statistical Institute, also Elected Fellow of the American Statistical Association. She is coauthor of three technical books; and her research in both statistical theory and application appears in more than 70 scientific papers in refereed journals. The areas of her technical expertise include: design of complex experiments, Bayesian inference, spatial statistics and topological foundations for statistical theory. She has applied her expertise in statistical design and analysis of complex experiments and observational studies to a wide range of applications from physiology and medicine to engineering and sensors to social science applications in multi-observer scoring to ethical designs for clinical trials.