JSM 2004 Online Program

Abstract #301530

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Activity Number:	262
Type:	Topic Contributed
Date/Time:	Tuesday, August 10, 2004 : 2:00 PM to 3:50 PM
Sponsor:	Section on Statistical Computing
Abstract - #301530
Title:	Implementation of Backward Induction for Sequentially Adaptive Clinical Trials
Author(s):	Jay K. Wathen*+
Companies:	University of Texas M.D. Anderson Cancer Center
Address:	1515 Holcombe Blvd., Box 447, Houston, TX, 77030-4009,
Keywords:	backward induction ; implementation ; clinical trial
Abstract:	In many clinical trials, patients are enrolled and data are collected sequentially, with interim decisions based on the accruing data. This naturally leads to application of Bayesian sequential procedures for trial monitoring. I will discuss the implementation and computational tasks involved in the use of backward induction for making decisions during a clinical trial. I will address general computational needs, and illustrate the ideas with specific results for a two-arm trial with a binary outcome and a sample size of 200 patients. In addition, simulation results will be provided.

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