Estimation for Bayesian adaptive designs
*Peter Mueller, UT Austin Keywords: We discuss estimation following clinical studies with Bayesian adaptive designs, including adaptive randomization, sequential stopping for futility and/or efficacy and population finding. Investigators using Bayesian designs routinely evaluate operating characteristics that report frequentist summaries of the decision problem, that is error rates and power. With the increased use of Bayesian adaptive designs it is becoming similarly important to understand the performance of estimates that are reported at the end of the trial. While from a formal Bayesian perspective posterior inference is not affected by commonly used adaptive designs, frequentist properties of the reported estimates are. We discuss related advantages and limitations of adaptive Bayesian designs and show some typical examples.
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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