NISS is hosting a third webinar that will focus on the use of p-values in making decisions.
In 2017 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 culminated in the publication of a special issue of The American Statistician. The title of this special issue is "Statistical Inference in the 21st Century: A World Beyond p < 0.05" that featured 43 papers on alternatives to the traditional use of p-values.
On May 23, 2019 NISS hosted a webinar discussing the major ideas covered in some of these papers. Recordings and slides for May webinar are available on the NISS website and can be accessed here.
Following the very successful May webinar, NISS took these conversations on p-values a step further by inviting Jim Berger, Sander Greenland and Robert Matthews who published in the special TAS issue to share insights about their specific ideas during a seminar on November 19. You can find the slides and recordings of the second webinar here.
This third webinar will feature individuals from fields where p-values are heavily used in decision making and multiplicity adjustment in the frequentist sense is a core consideration for drawing inference. The speakers are Yoav Benjamini, the Nathan and Lily Silver Professor of Applied Statistics at the Department of Statistics and Operations Research at Tel Aviv University, Alicia Laura Carriquiry, a Distinguished Professor of Statistics at Iowa State University, and Hsien-Ming James Hung, Director of Division of Biometrics I, Office of Biostatistics, Office of Translational Sciences, Center for Drug Evaluation and Research (CDER), U.S. Food and Drug Administration (FDA). The webinar will be moderated by James Rosenberger, Professor Emeritus of Statistics at Penn State University, and Director of NISS.
The webinar will use Zoom and is free to the public. We invite you to register for this webinar using the registration link.
Please Note: This event was rescheduled from April 7th to this current date in order to accomodate speaker schedule changes.
Webinar Outline: Eastern Time
10:00 – 10:05 James Rosenberger, Opening remarks and logistics
10:05 – 10:35 Yoav Benjamini, "Replicability problems in science: It's not the p-values' fault"
10:35 – 11:05 Alicia Laura Carriquiry, "P-values are rarely used in forensic science and the criminal justice system. That is too bad."
11:05 – 11:35 Hsien-Ming James Hung, "Roles of multiplicity adjustment in regulatory applications"
11:35 – 11:55 Q&A, and discussion
About the Presenters
Yoav Benjamini is the Nathan and Lily Silver Professor of Applied Statistics at the Department of statistics and Operations Research at Tel Aviv University. He is a member of the Sagol School of Neuroscience and the Edmond Safra Bioinformatics Center, both at Tel Aviv University. He was a visiting professor at Wharton, UC Berkeley, Stanford and Columbia Universities. Prof. Benjamini is a co-developer of the widely used and cited False Discovery Rate concept and methodology. His research topics are selective and simultaneous inference, replicability and reproducibility in science, and data mining, with applications in Biostatistics, Bioinformatics, Animal Behavior, Brain Imaging and Health Informatics. He received the Israel Prize for research in Statistics and Economics, is a member of the Israel Academy of Sciences and Humanities, and has been elected to receive the Karl Pearson Prize of ISI this summer.
Alicia Laura Carriquiry is a distinguished professor of statistics at Iowa State University and was president of the International Society for Bayesian Analysis in 2001. She has been director of graduate education in statistics at Iowa State since 2004, and served as associate provost from 2000 to 2004. She is a Director at the Center for Statistics and Applications in Forensic Evidence. The center was established in 2015 as a way to apply more objective science in the forensics field when dealing with human evidence. During her 30+ years of career, Carriquiry has developed statistical methods to better measure food consumption, specifically, nutrient intake. Her work has also focused on mental health issues, which includes leading an ongoing effort by National Academy of Medicine to evaluate Veterans Affairs mental health services. Carriquiry has worked with various government and health agencies around the world to improve health and nutrition.
Hsien-Ming James Hung is Director of Division of Biometrics I, Office of Biostatistics, Office of Translational Sciences, Center for Drug Evaluation and Research (CDER), U.S. Food and Drug Administration (FDA). During his tenure with FDA, Dr. Hung had much experience in reviewing many large mortality or morbidity clinical trials in cardiovascular and renal disease areas. His research areas cover utility of p-value, factorial design trials, adaptive designs, non-inferiority trial designs, multi-regional clinical trials. He made significant contributions to FDA guidance documents on adaptive designs, non-inferiority designs and multiple endpoints, and received FDA/CDER Scientific Achievement Awards and other awards for the recognition of his scientific contributions to the US FDA. Dr. Hung is an American Statistical Association Fellow.