Hi3+3: A Model-Assisted Dose-Finding Design Borrowing Historical Data
Yunshan Duan, Sue-Jane Wang, Yuan Ji

TL;DR
The Hi3+3 design improves phase I dose-finding trials by effectively borrowing historical data using a hybrid model and algorithmic rules, enhancing safety and efficiency while maintaining simplicity for practical use.
Contribution
This paper introduces the Hi3+3 design, a novel hybrid approach that incorporates historical data via power priors and pretabulated decision rules for improved dose-finding.
Findings
Outperforms the i3+3 design by borrowing historical data.
Maintains high safety levels for patients.
Efficiently identifies the correct MTD in simulations.
Abstract
Background -- In phase I clinical trials, historical data may be available through multi-regional programs, reformulation of the same drug, or previous trials for a drug under the same class. Statistical designs that borrow information from historical data can reduce cost, speed up drug development, and maintain safety. Purpose -- Based on a hybrid design that partly uses probability models and partly uses algorithmic rules for decision making, we aim to improve the efficiency of the dose-finding trials in the presence of historical data, maintain safety for patients, and achieve a level of simplicity for practical applications. Methods -- We propose the Hi3+3 design, in which the letter "H" represents "historical data". We apply the idea in power prior to borrow historical data and define the effective sample size (ESS) of the prior. Dose-finding decision rules follow the idea in the…
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Taxonomy
TopicsStatistical Methods in Clinical Trials · Computational Drug Discovery Methods · Optimal Experimental Design Methods
