Checkerboard: a Bayesian efficacy and toxicity interval design for phase I/II dose-finding trials
The novel checkerboard design offers a new approach for phase I/II clinical trials, balancing toxicity and efficacy. This model-assisted design simplifies dose selection for targeted therapies and immunotherapies.
Area of Science:
- Clinical trial design
- Pharmacometrics
- Oncology drug development
Background:
- Conventional phase I trial designs, focused on maximum tolerated dose (MTD), are challenged by targeted therapies and immunotherapies.
- There is a need for adaptive trial designs that integrate both toxicity and efficacy data.
Purpose of the Study:
- To introduce the checkerboard design, a novel model-assisted phase I/II clinical trial design.
- To evaluate the checkerboard design's performance against existing model-based designs.
Main Methods:
- The checkerboard design models the joint distribution of toxicity and efficacy.
- It divides toxicity and efficacy into intervals and adaptively determines optimal doses using interim data.
- The design is extended to accommodate continuous efficacy endpoints.
Main Results:
- The checkerboard design demonstrates competitive performance compared to current model-based phase I/II designs.
- Simulation studies confirm its efficacy in dose selection.
- The design's decision rules can be pretabulated for easier implementation.
Conclusions:
- The checkerboard design provides a simpler and more practical alternative for phase I/II clinical trials.
- It effectively balances toxicity and efficacy, offering an improved approach for dose-finding studies in the era of precision medicine.
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