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192 - Section on Bayesian Statistical Science P.M. Roundtable Discussion (Added Fee)
Type: Roundtables
Date/Time: Monday, July 31, 2017 : 12:30 PM to 1:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract #323481
Title: How Can Disease Progression Modeling Help Us Build Better Clinical Trials?
Author(s): Melanie Quintana*
Companies: Berry Consultants
Keywords: Disease progression ; Natural History data ; Clinical Trials
Abstract:

We will focus our discussion on understanding the unique challenges that are encountered in designing clinical trials in slowly progressive and sporadic diseases and how disease progression models can help to overcome some of those challenges. One common challenge in designing clinical trials in these areas is understanding expected rates and the variability of natural progression in different patient populations that are likely to be enrolled in the trial. Examples will be given to demonstrate the usefulness of disease progression modeling in conjunction with natural history data to guide decision making for key trial parameters and to provide an analysis model for determining if a novel therapy is effective in altering disease progression. Attendees will discuss their experiences of clinical trial design in these areas, sharing examples of what works and doesn't work. Those new to this field should attend with questions and be prepared to think about how disease progression modeling may be able to help in building a better clinical trial in their disease area of expertise.


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

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