This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 503
Type: Topic Contributed
Date/Time: Wednesday, August 4, 2010 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract - #306515
Title: Bayesian Design for Nonrandomized Phase II Oncology Trials
Author(s): Yanmei Xu*+ and Bingming Yi
Companies: GlaxoSmithKline and GlaxoSmithKline
Address: 1250 South Collegeville Road, Collegeville, PA, 19426,
Keywords: Bayesian ; Oncology ; Interim Assessment
Abstract:

Early phase II oncology trials are aimed to evaluate patients' response to a new treatment in a non-randomized fashion. Traditional designs commonly used include two-stage Green-Dahlberg and Simon's optimal designs. The talk will discuss the implementation of Bayesian interim approach in oncology phase II setting, and compare the design performance between Bayesian and the traditional designs. Bayesian design allows flexible handling of interim assessments while controlling type I and II errors. It improves the chance of identifying an inefficacious treatment early on in the development to eliminate its further exposure to the cancer patients and cut the development cost.


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