NISS-Merck Virtual Meet-up on Bayesian Statistics in Drug Development

April 2, 2020 11-12:30 pm (ET)

Bayesian statistics has been an important topic in the pharma industry for some time. Although the Bayesian perspective has been adopted for a number of important applications, traditional frequentist statistics are still the norm. Nonetheless, there are many proponents who believe that Bayesian analysis could and should play a larger role in drug development.  This meet-up will explore some of the applications in which Bayesian methods are already being used as well as areas that might be ripe for future use.

Register for this event here!

After you register, NISS will email you a links and reminders for the meet-up. The Meet-Up will use Zoom software and is free to the public.

Previous NISS-Merck Meet-Ups can be viewed on the NISS website.


NISS-Merck Meet-up Series - Now Using Zoom!

Zoom users will be prompted to download and run a small Zoom meeting launcher.  (View a 53 sec video - "How to Join a Meeting"

Registered attendees are view-only participants.

Use the Question & Answer (Q&A) feature to ask questions during the meet-up.
Click on the Q&A icon at the bottom of the Zoom window, type in your question for the panelist and click ‘Enter’.

When a speaker is sharing his/her screen you can minimize the video displays of the other speakers by clicking on the dash button that appears on top of the panel showing all of the speakers.


Agenda

The agenda for the meet-up is as follows:

Frank Harrell, (Vanderbilt University)

"Fundamental Advantages of Bayes in Drug Development"

Amy Xia, (Amgen)

Presentation title coming soon! 

Telba Irony, (FDA)

Presentation title coming soon! 


About the Speakers

Frank Harrel (Vanderbilt University):  Dr. Harrell received his PhD in Biostatistics from UNC in 1979. Since 2003 he has been Professor of Biostatistics, Vanderbilt University School of Medicine, and was the department chairman from 2003-2017. He is Expert Statistical Advisor for the Office of Biostatistics for FDA CDER. He is Associate Editor of Statistics in Medicine, a member of the Scientific Advisory Board for Science Translational Medicine, and a member of the Faculty of 1000 Medicine. He is a Fellow of the American Statistical Association and winner of the Association's WJ Dixon Award for Excellence in Statistical Consulting for 2014. His specialties are development of accurate prognostic and diagnostic models, model validation, clinical trials, observational clinical research, cardiovascular research, technology evaluation, pharmaceutical safety, Bayesian methods, quantifying predictive accuracy, missing data imputation, and statistical graphics and reporting.

Additional speaker information coming soon!

Event Type

Host

Merck & Co., Inc.

Sponsor

National Institute of Statistical Sciences

Cost

FREE!

Location

Virtual Meet-up
Time: 11:00 am -12:30 pm, Eastern Daylight Time (New York, GMT-04:00)
Using Zoom Video Conferencing Software
United States
Merck & Co., Inc.
National Institute of Statistical Sciences