Dr. Vance Berger will present his online course "Bayesian Clinical Trials"
at statistics.com Nov. 10 - Dec. 8. Participants can ask questions and
exchange comments with Dr. Berger via a private discussion board throughout
the period.
Bayesian methods are seeing increased interest in the clinical trial
community, since they more accurately reflect the "incremental learning
from experience" nature of scientific research. This course covers the
essentials of Bayesian analysis in randomized clinical trials and the
evaluation of medical interventions. The distinctions between Bayesian
analysis and traditional frequentist analysis are discussed, with special
attention to the pros, cons and scope of applicability of each, with an
assessment of when the two can be used in conjunction with each other.
Dr. Vance W. Berger serves on the adjunct faculty of the University of
Maryland Baltimore County. He is the author of Selection Bias and Covariate
Imbalances in Randomized Clinical Trials, and has written or co-written
dozens of papers in peer reviewed journals in medicine and statistics. He
has also worked with federal regulatory and research organizations, reviews
manuscripts for many of the top scholarly journals, has lectured all over
the country on his research, and has served as an FDA reviewer for over
four years.
Details:
http://www.statistics.com/courses/clinicalbayes/
The course takes place online at statistics.com in a series of 4 weekly
lessons and assignments. Participate at your own convenience; there are no
set times when you are required to be online.
Peter Bruce
President, statistics.com
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