This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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470
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Type:
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Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Bayesian Statistical Science
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Abstract - #307709 |
Title:
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Phase I Dose-Finding in Cancer Trials Based on a Discrete Time Multistate Model
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Author(s):
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Lin Yang*+ and Nebiyou Bekele and Donald Arthur Berry
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Companies:
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MD Anderson Cancer Center and MD Anderson Cancer Center and MD Anderson Cancer Center
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Address:
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2348 McClendon St #1, Houston, TX, 77030, USA
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Keywords:
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Toxicity severity level ;
Average toxicity score ;
Multistate
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Abstract:
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Toxicities in phase I oncology trials are commonly categorized by grade. Standard phase I dose-finding designs address early toxicity of sufficiently high grade. It is not standard to use information about early lower toxicities though they may predict later higher toxicities. We propose a Bayesian dose-finding design based on a discrete time multistate model that accounts for two important factors: the toxicity severity levels and non-suspension between accrual cohorts. We estimate an Average Toxicity Score (ATS) based on the discrete time multistate transition probabilities. A Bayesian isotonic transformation is applied to induce an order-restricted posterior ATS. The operating characteristics are compared with those of a similar design by Bekele, Li and Ji (2009. We describe settings in which, under comparable power, the proposed design significantly shortens trial duration.
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Authors who are presenting talks have a * after their name.
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