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Dose finding with continuous outcome in phase I oncology trials
Yunfei Wang1, Anastasia Ivanova
1Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7420, USA.
This study introduces a novel method for phase I oncology trials with continuous endpoints. It efficiently identifies optimal doses while allowing flexible patient allocation in high-accrual settings.
Area of Science:
- Oncology
- Clinical Trial Design
- Biostatistics
Background:
- Phase I clinical trials in oncology aim to determine safe and effective drug doses.
- Continuous endpoints, such as toxicity scores, are frequently used in these trials, especially for cytostatic agents.
- Current methods may lack flexibility in patient dose assignment during rapid accrual.
Purpose of the Study:
- To propose a new statistical method for dose-finding in phase I oncology trials.
- To address challenges with continuous endpoints and patient allocation in fast-accrual scenarios.
- To offer a flexible and effective approach for dose selection.
Main Methods:
- Development of a novel dose-finding algorithm for continuous endpoints.
- Simulation or comparison with existing methods to evaluate performance.
- Focus on patient allocation flexibility under high patient accrual rates.
Main Results:
- The proposed method demonstrates comparable dose selection accuracy to existing approaches.
- It offers enhanced flexibility in assigning patients to different dose levels during the trial.
- The method is particularly advantageous when patient accrual outpaces follow-up duration.
Conclusions:
- The new method provides a viable alternative for phase I oncology trials with continuous endpoints.
- It improves trial efficiency by allowing more flexible patient dose assignment.
- This approach is beneficial for trials with rapid patient enrollment and limited follow-up time.
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