Bayesian adaptive trials have gained popularity as flexible alternatives to conventional randomized clinical trial designs. Bayesian probability statements are commonly used as the basis of decision making throughout the trial to make interim adjustments and facilitate early stopping.
| On-Demand | 1 hour | Your Desk! |
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Shirin GolchiAssistant Professor, Biostatistics. Department of Epidemiology and Biostatistics, McGill University; FRQS-Junior 1 Research Fellow in Statistical Methods for Clinical Trials |
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Brad CarlinSenior Advisor, Data Science, PharmaLex |
Statistical design of Bayesian adaptive trials often requires extensive simulation studies to assess and report frequentist operating characteristics (power and type I error rate) required by regulatory agencies. This webinar will cover a brief overview of Bayesian adaptive designs for clinical trials, example trials with Bayesian adaptive designs, review of statistical procedures routinely used to assess the operating characteristics of these designs and methods for efficient estimation and uncertainty quantification for the operating characteristics.