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Published on: September 20, 2019
A stochastically curtailed two-arm randomised phase II trial design for binary outcomes
Martin Law1, Michael J Grayling2, Adrian P Mander3
1Hub for Trials Methodology Research, Medical Research Council Biostatistics Unit, University of Cambridge, Cambridge, UK.
This study introduces an efficient randomized trial design for phase II oncology trials. The proposed method uses stochastic curtailment and randomized blocks for early stopping, improving participant efficiency over single-arm designs.
Area of Science:
- Clinical Trials Methodology
- Biostatistics
- Oncology Research
Background:
- Phase II oncology trials frequently use single-arm designs due to lower participant requirements compared to randomized controlled trials.
- There is a need for more efficient randomized trial designs in oncology to improve participant allocation and study outcomes.
Purpose of the Study:
- To introduce a novel randomized two-arm binary outcome trial design incorporating stochastic curtailment (SC) and randomized block design.
- To enhance the efficiency of randomized phase II oncology trials, allowing for early stopping.
Main Methods:
- The proposed design integrates stochastic curtailment (SC) for early trial termination and a randomized block design to control interim analyses.
- The new design was compared against existing early stopping designs using a loss function evaluating design characteristics.
- Comparisons were validated with a real-world clinical trial example.
Main Results:
- The proposed randomized design demonstrated superiority over existing early stopping designs across various loss functions.
- The design offers flexibility in the number of interim analyses, potentially increasing practicality.
- While one existing design excels with low anticipated response rates, it is sensitive to null response rate misspecification.
Conclusions:
- The novel randomized design with SC and randomized blocks is recommended for phase II oncology trials over other sequential designs.
- This approach offers a more efficient and practical alternative to traditional single-arm or less flexible randomized designs.
- The design enhances participant efficiency and provides robust decision-making capabilities through controlled interim analyses.
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