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Activity Number: 258
Type: Invited
Date/Time: Tuesday, August 8, 2006 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract - #305327
Title: Estimation Following Group Sequential Trials: a Bayesian View
Author(s): Gary L. Rosner*+
Companies: M. D. Anderson Cancer Center
Address: 1515 Holcombe Blvd., Houston, TX, 77030,
Keywords:
Abstract:

Most randomized clinical trials undergo some form of interim monitoring. It is well-known that sequential stopping rules affect the frequentist characteristics of estimators. Bayesian inference obeys the likelihood principle, so inference does not change if the stopping rules do not alter the likelihood. Often, trial organizers are interested in the frequentist characteristics of Bayesian study designs. In this talk, we will discuss characteristics of Bayesian estimates of treatment effects and covariate effects in a clinical trial that includes interim monitoring.


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Revised April, 2006