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Statistical consideration when adding new arms to ongoing clinical trials: the potentials and the caveats
Kim May Lee1,2, Louise C Brown3, Thomas Jaki4,5
1MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0SR, UK. kim.lee@mrc-bsu.cam.ac.uk.
Platform trials enhance drug development efficiency with adaptive designs. Statistical methods are available to address challenges in adding new arms for robust clinical trial analysis.
Area of Science:
- Clinical Trials
- Biostatistics
- Drug Development
Background:
- Platform trials offer flexibility in drug development by allowing arms to be added or dropped.
- While benefits are known, statistical implications of adding arms in ongoing studies require further examination.
Discussion:
- This study details statistical considerations for incorporating new interventions into ongoing platform trials.
- It covers methodology for robust inference, control arm changes, patient eligibility complexities, and operational bias.
Key Insights:
- Recent methodological developments address statistical challenges in platform trial design and analysis.
- Robust inference is achievable through enhanced design and analysis approaches.
Outlook:
- Platform trials present opportunities for efficient intervention evaluation.
- Available statistical methods support robust and efficient platform trial design and analysis in various settings.
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