TL27: Bayesian Missing Data Analysis – Methods and Case Studies
*Frank Liu, Merck & Co. Inc. Keywords: Missing data can be inevitable in longitudinal clinical trials. While there is no “best” method for handling missing data, it is recommended by regulatory agencies to conduct sensitivity analysis to check the robustness of the analysis results. Considering the advantages of Bayesian approach on incorporating the uncertainty of missing data into the sensitivity analysis models, DIA Bayesian Scientific Working Group (BSWG) established a team to look into this area. In this roundtable discussion, we will share some findings from the working group. Specifically, some case studies using real clinical trial datasets from pharmaceutical companies will be used to illustrate the applications, and discuss the opportunities on using Bayesian sensitivity analysis for missing data in clinical trials.
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Key Dates
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November 1 - December 17, 2013
Online proposal submission for a session, short course and Town Hall Open -
January 6 - March 11, 2014
Online proposal submission for Roundtables Open -
April 30 - May 28, 2014
Abstract Submission Open -
June 4, 2014
Online Registration Opens -
August 8 - August 22, 2014
Invited Abstract Editing -
August 11, 2014
Short Course materials due from Instructors -
September 1, 2014
Housing Deadline -
September 15, 2014
Cancellation Deadline and Registration Closes @ 11:59 pm EDT -
September 22 - September 24, 2014
Marriott Wardman Park, Washington, DC