Abstract #301564

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JSM 2003 Abstract #301564
Activity Number: 204
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Bayesian Stat. Sciences
Abstract - #301564
Title: A New Bayesian Design for Phase I Trials with Two Agents
Author(s): Kai Wang*+ and Anastasia Ivanova
Companies: University of North Carolina, Chapel Hill and University of North Carolina, Chapel Hill
Address: 25 Lanark Rd., Chapel Hill, NC, 27517,
Keywords: two-dimensional design ; Bayesian
Abstract:

Often, treatment plans in Phase I oncology trials consist of two or more agents. The purpose of such trials is to find a set of maximum tolerated dose combinations--combinations that yield the pre-specified toxicity rate (usually 20%). The most common approach used in two-agent trials is to fix the dose of one agent and vary the dose of the other agent, that is, to reduce the design to one dimension. We present a new Bayesian design that operates in a two-dimensional dose space. The new design uses the natural assumption that the probability of toxicity is a nondecreasing function of dose level in one agent when the dose of the other agent is fixed. The new design assigns fewer patients to suboptimal or toxic doses and provides a higher quality estimation of maximum tolerated dose combinations than when a one-dimensional approach is used.

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