Adaptive enrichment trials:What are the benefits?

Burnett, T. and Jennison, C. (2021) Adaptive enrichment trials:What are the benefits? Statistics in Medicine, 40 (3). pp. 690-711. ISSN 0277-6715

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Abstract

When planning a Phase III clinical trial, suppose a certain subset of patients is expected to respond particularly well to the new treatment. Adaptive enrichment designs make use of interim data in selecting the target population for the remainder of the trial, either continuing with the full population or restricting recruitment to the subset of patients. We define a multiple testing procedure that maintains strong control of the familywise error rate, while allowing for the adaptive sampling procedure. We derive the Bayes optimal rule for deciding whether or not to restrict recruitment to the subset after the interim analysis and present an efficient algorithm to facilitate simulation-based optimisation, enabling the construction of Bayes optimal rules in a wide variety of problem formulations. We compare adaptive enrichment designs with traditional nonadaptive designs in a broad range of examples and draw clear conclusions about the potential benefits of adaptive enrichment.

Item Type:
Journal Article
Journal or Publication Title:
Statistics in Medicine
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2613
Subjects:
ID Code:
150968
Deposited By:
Deposited On:
21 Jan 2021 11:45
Refereed?:
Yes
Published?:
Published
Last Modified:
23 Feb 2021 09:21