The i3+3 Design for Phase I Clinical Trials
Meizi Liu, Sue-Jane Wang, Yuan Ji

TL;DR
The paper introduces the i3+3 design, a simple, rule-based method for phase I clinical trials that improves safety and accuracy in identifying the maximum tolerated dose, matching the performance of more complex model-based designs.
Contribution
The i3+3 design offers a new rule-based approach that enhances safety and reliability in dose-finding trials without requiring complex statistical modeling.
Findings
i3+3 outperforms 3+3 in safety and MTD identification
i3+3 has comparable performance to model-based designs
The design is simple, transparent, and easy to implement
Abstract
Purpose: The 3+3 design has been shown to be less likely to achieve the objectives of phase I dose-finding trials when compared with more advanced model-based designs. One major criticism of the 3+3 design is that it is based on simple rules, does not depend on statistical models for inference, and leads to unsafe and unreliable operating characteristics. On the other hand, being rule-based allows 3+3 to be easily understood and implemented in practice, making it the first choice among clinicians. Is it possible to have a rule-based design with great performance? Methods: We propose a new rule-based design called i3+3, where the letter "i" represents the word "interval". The i3+3 design is based on simple but more advanced rules that account for the variabilities in the observed data. We compare the operating characteristics for the proposed i3+3 design with other popular phase I…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStatistical Methods in Clinical Trials · Optimal Experimental Design Methods · Health Systems, Economic Evaluations, Quality of Life
