Platform Trials
Haitao Pan () and
Ying Yuan ()
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Haitao Pan: St. Jude Children’s Research Hospital, Department of Biostatistics
Ying Yuan: The University of Texas MD Anderson Cancer Center, Department of Biostatistics
Chapter Chapter 9 in Bayesian Adaptive Design for Immunotherapy and Targeted Therapy, 2023, pp 201-262 from Springer
Abstract:
Abstract Traditional phase II clinical trial designs were developed mainly for evaluating candidate treatments in a one-treatment-at-a-time manner. With tremendous advances in biomedical research, a number of candidate drugs are produced and discovered at an unprecedented speed. This makes the traditional one-treatment-at-a-time phase II trial paradigm cumbersome and grossly inefficient. Platform trials, also known as multi-arm multi-stage trials, provide an efficient way to screen a large number of candidate drugs and quickly identify promising ones for the next phase of development. In this chapter, several platform trial designs are introduced to illustrate this approach. These designs are highly flexible and adaptive, allowing dropping inefficient treatments and adding new candidate treatments during the course of the trial.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-8176-0_9
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DOI: 10.1007/978-981-19-8176-0_9
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