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Updated: May 7, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
Published on: July 17, 2021
Phase I design for completely or partially ordered treatment schedules
Nolan A Wages1, John O'Quigley, Mark R Conaway
1Translational Research & Applied Statistics, Public Health Sciences, University of Virginia, Charlottesville, VA 22908, U.S.A.
This study introduces a new method for phase I oncology trials to find the optimal dose and schedule, moving beyond single-course therapy assumptions. It addresses toxicity that depends on both dose amount and administration frequency.
Area of Science:
- Oncology
- Clinical Trial Design
- Pharmacokinetics
Background:
- Current phase I oncology trial designs primarily focus on single-course therapy.
- In practice, multiple treatment schedules exist for a given dose, influencing toxicity.
- Toxicity probability depends on both dose amount and administration frequency.
Purpose of the Study:
- To develop a novel dose-schedule finding design for phase I oncology trials.
- To relax the assumption of monotonically increasing toxicity with schedule.
- To accommodate scenarios with known and unknown schedule orderings.
Main Methods:
- Developed a flexible dose-schedule finding design.
- Relaxed the assumption of monotonic toxicity increase with schedule.
- Designed for situations with known and unknown schedule orderings.
Main Results:
- The proposed design can be generalized to various scenarios of schedule ordering.
- Simulation results demonstrate the method's performance.
- Comparison with existing dose-schedule finding methodologies was conducted.
Conclusions:
- The new design offers a more realistic approach to dose and schedule optimization in phase I oncology trials.
- This method provides a valuable tool for complex treatment scenarios.
- Further research can explore its application in diverse clinical settings.
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