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Activity Number: 343 - Innovative Trial Designs and Analytics
Type: Contributed
Date/Time: Tuesday, July 30, 2019 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract #301737
Title: On the Robustification of MAP Prior in Bayesian Historical Data Borrowing
Author(s): Hongtao Zhang*
Companies: AbbVie Inc.
Keywords: historical data borrowing; meta-analytical-predictive prior; Bayesian; prior-data conflict

Meta-analytical-predictive (MAP) prior has been widely used in borrowing summary-level historical control data. One highly desired feature for the MAP prior is the ability to dynamically down-weight the historical data in the presence of a prior-data conflict. The robust MAP (rMAP) prior was proposed to strengthen this feature by adding a non-informative component to the original MAP prior. An alternative robustification approach utilizes the same underlying idea as the rMAP and has a Bayesian model averaging interpretation. In this research, we explore the connection and differences between the two methods, and compare their performances using simulation studies.

Authors who are presenting talks have a * after their name.

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