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Practical implementation of the partial ordering continual reassessment method in a Phase I combination-schedule
Pavel Mozgunov1, Thomas Jaki1,2, Ioannis Gounaris3
1MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
This study introduces a novel statistical design for oncology trials, optimizing drug doses and schedules. The partial ordering continual reassessment method (POCRM) enhances efficiency and facilitates advanced treatment strategies.
Area of Science:
- Oncology
- Biostatistics
- Clinical Trial Design
Background:
- Optimizing combination therapies and dosing schedules in single trials presents statistical challenges.
- Advanced statistical methods for dose-finding trials have limited practical implementation.
Purpose of the Study:
- To describe the implementation of a model-based partial ordering continual reassessment method (POCRM) for three-dimensional dose-finding in an oncology trial.
- To share practical experience in applying advanced statistical designs to facilitate their adoption.
Main Methods:
- Developed and implemented a partial ordering continual reassessment method (POCRM) design for escalating/de-escalating doses of two agents and the dosing schedule of one agent.
- Proposed methods for specifying toxicity orderings and their probabilities.
- Created visualization tools to communicate design properties.
Main Results:
- The POCRM design was successfully implemented and communicated to the trial team.
- The design underwent evaluation through simulation studies and individual trial behavior analysis.
- The oncology trial utilizing this advanced design is now enrolling patients.
Conclusions:
- Sharing practical implementation experience can accelerate the uptake of efficient statistical methods in clinical trials.
- The successful application of POCRM, validated by health authorities, demonstrates its feasibility and potential.
- This work aims to encourage the use of advanced dose-finding methodologies in oncology research.
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