Adaptive designs for clinical trials allow for interim adjustments to the trial design according to preplanned decision rules and the accumulated data through the course of the trial. The Bayesian framework is particularly accommodating for adaptive trials where sequential analyses and decision-making is required.  This short course will provide an introduction to statistical methods for  Bayesian adaptive clinical trials. The course includes practical examples of trial designs involving simulations to demonstrate the utility of these designs and statistical techniques commonly employed within this framework.  Specific topics covered  in the course include:

    - Bayesian sequential analysis and decision criteria in clinical trials
    - Adaptations and stopping rules
    -Sample size determination and assessment of design operating characteristics