Applications of Bayesian Statistics in Clinical Trials: Part 1
View Presentation *Thomas A. Louis, Johns Hopkins University Keywords: The use of Bayesian statistics has conspicuously increased in clinical trial research because it is ideally suited to adapting to information that accrues during a trial, potentially resulting in smaller, shorter, and more informative trials and for allowing patients to receive better treatment during the course of a trial. In this course we will hear from experts in academia, industry and the FDA on how to design, analyze, and interpret a Bayesian clinical trial in various settings, and how the resulting design can be used in the development of a novel health care product. We will hear the advantages and challenges of using Bayesian methodologies, followed by several case studies. Four speakers: Prof. Tom Louis, Dr. Andrew Mugglin, Dr. Scott Berry and Dr. Pablo Bonangelino will present examples of the use of Bayesian methods in drug and medical device clinical trials. Both regulatory and industry perspectives will be given.
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Key Dates
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April 30 - May 22, 2013
Invited Abstract Submission Open -
June 4, 2013
Online Registration Opens -
August 9 - August 23, 2013
Invited Abstract Editing -
August 23, 2013
Short Course materials due from Instructors -
August 26, 2013
Housing Deadline -
September 9, 2013
Cancellation Deadline and Registration Closes @ 11:59 pm EDT -
September 16 - September 18, 2013
Marriott Wardman Park, Washington, DC