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Activity Number:
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308
- Adaptive Design - 2
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2018 : 8:30 AM to 10:20 AM
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Sponsor:
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Biopharmaceutical Section
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Abstract #329768
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Title:
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A Case Study of a Bayesian Adaptive Dose-Finding Phase 2 Trial Design Using Go/No-Go Criteria and Adaptive Randomization
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Author(s):
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Ye Ting Du* and James Bolognese
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Companies:
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and Cytel Inc
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Keywords:
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dose-finding; Bayesian adaptive randomization
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Abstract:
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In this talk, we present a case study of a Bayesian adaptive dose-finding phase 2 non-inferiority trial design using go/no-go criteria and adaptive randomization. More specifically, we compare adaptive treatment allocation based on posterior probability of each active dose response rate being within -0.1 of control response rate to several fixed randomization ratios, and demonstrate that Bayesian adaptive randomization designs yield better performance and may allow for more efficient trials.
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Authors who are presenting talks have a * after their name.
