Dr. Vance Berger will present his online short course “Clinical Trial
Design” Oct. 21 – Nov. 18 at statistics.com.
This course covers the essential concepts required to design rigorous
randomized trials so as to ensure valid treatment comparisons. The nature
and objectives of randomization are discussed, as are masking, allocation
concealment, blocking, stratification, dynamic randomization, and the
various types of selection bias that can arise. In addition, we cover
analysis techniques that can be used to salvage reliable treatment
comparisons even if some of these selection biases are detected. These
methods are more advanced, and involve adaptations of the propensity score.
Dr. Berger, the author of Selection Bias and Covariate Imbalances in
Randomized Clinical Trials (John Wiley and Sons, 2005), serves on the
adjunct faculty of the University of Maryland Baltimore County. He has also
taught in the past at Rutgers University and the Johns Hopkins University
School of Public Health, and has served as an FDA reviewer for over four
years.
There are no set hours when you must be online, and you can interact with
the instructor over a period of 4 weeks via a private discussion board. We
estimate you will need about 10 hours per week. Registration and
details: http://www.statistics.com/content/courses/clinicaltrials/index.html .
Peter Bruce
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