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Activity Number:
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64
- Statistical Issues Specific to Therapeutic Areas
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Type:
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Contributed
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Date/Time:
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Monday, August 3, 2020 : 10:00 AM to 2:00 PM
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Sponsor:
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Biopharmaceutical Section
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Abstract #312873
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Title:
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Bayesian Approaches for Modeling Repeated Computerized Assessment of Cognitive Function in Alzheimer’s Disease
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Author(s):
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Nairita Ghosal* and Santosh Sutradhar and Sarah Janicki Hsieh
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Companies:
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Merck & Co., Inc., and Merck & Co., Inc. and Merck & Co., Inc.,
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Keywords:
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Alzheimer’s Disease;
Bayesian approach;
Subject Variability
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Abstract:
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Drug development for Alzheimer’s disease (AD) is challenging and is marked by limited success. Cognitive fluctuations due to pathophysiological changes in AD patients leads to variability in patient performance in computerized cognitive assessments which affects assessment of potential efficacy of new drugs. In this presentation, we will discuss Bayesian approaches to model inter- and intra-subject variability of repeated measurements of cognitive function using computerized assessment. Bayesian framework provides reasonable precision with smaller sample sizes and can assist in programmatic decision making, particularly in early stage clinical trials.
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Authors who are presenting talks have a * after their name.
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