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Activity Number:
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329
- Advances of Statistical Methodologies in Mental Health and Related Field: Some Recent Issues and Solutions
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 1, 2017 : 10:30 AM to 12:20 PM
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Sponsor:
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Mental Health Statistics Section
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Abstract #323277
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View Presentation
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Title:
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Use of Historical Information via Bayesian Approach in Non-Inferiority Trial: With Application in Mental Health
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Author(s):
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Samiran Ghosh* and Santu Ghosh
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Companies:
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Wayne State University - Detroit, MI and Augusta University
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Keywords:
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Bayesian ;
Mental Health ;
Noninferiority ;
Sample size ;
RCT
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Abstract:
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Clinical trials are acceptable gold standard for determining whether an intervention works for particular disease. However it requires substantial resources to be successful in making that determination. These resources can be quantified not only as a monetary cost, but also from an ethical view point as it requires exposing subjects to an unverified treatment regime from which benefits are yet to be determined. Hence reducing sample size if possible without undermining the integrity of the trial is always desirable. Historical trials often provide substantial information for legacy disease areas in many cases. Noninferiority trials are unique because they are dependent upon historical information in order to make meaningful interpretation of their results. Bayesian paradigm provides a natural framework in incorporating this historical information as a prior, which could reduce sample size burden substantially. In this talk we will review some of these Bayesian approaches from Noninferiority point of view with some application in depression trial.
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Authors who are presenting talks have a * after their name.
