PoD-TPI: Probability-of-Decision Toxicity Probability Interval Design to Accelerate Phase I Trials

被引:0
作者
Tianjian Zhou
Wentian Guo
Yuan Ji
机构
[1] The University of Chicago,Department of Public Health Sciences
[2] Laiya Consulting,undefined
[3] Inc.,undefined
来源
Statistics in Biosciences | 2020年 / 12卷
关键词
Clinical trial design; Decision theory; Dose finding; Late-onset toxicity; Maximum tolerated dose;
D O I
暂无
中图分类号
学科分类号
摘要
Cohort-based enrollment can slow down dose-finding trials since the outcomes of the previous cohort must be fully evaluated before the next cohort can be enrolled. This results in frequent suspension of patient enrollment. The issue is exacerbated in recent immune oncology trials where toxicity outcomes can take a long time to observe. We propose a novel phase I design, the probability-of-decision toxicity probability interval (PoD-TPI) design, to accelerate phase I trials. PoD-TPI enables dose assignment in real time in the presence of pending toxicity outcomes. With uncertain outcomes, the dose assignment decisions are treated as a random variable, and we calculate the posterior distribution of the decisions. The posterior distribution reflects the variability in the pending outcomes and allows a direct and intuitive evaluation of the confidence of all possible decisions. Optimal decisions are calculated based on 0-1 loss, and extra safety rules are constructed to enforce sufficient protection from exposing patients to risky doses. A new and useful feature of PoD-TPI is that it allows investigators and regulators to balance the trade-off between enrollment speed and making risky decisions by tuning a pair of intuitive design parameters. Through numerical studies, we evaluate the operating characteristics of PoD-TPI and demonstrate that PoD-TPI shortens trial duration and maintains trial safety and efficiency compared to existing time-to-event designs.
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页码:124 / 145
页数:21
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