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Activity Number: 308 - Adaptive Design - 2
Type: Contributed
Date/Time: Tuesday, July 31, 2018 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section
Abstract #329768
Title: A Case Study of a Bayesian Adaptive Dose-Finding Phase 2 Trial Design Using Go/No-Go Criteria and Adaptive Randomization
Author(s): Ye Ting Du* and James Bolognese
Companies: and Cytel Inc
Keywords: dose-finding; Bayesian adaptive randomization

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.

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

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