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Comparison of Bayesian with group sequential methods for monitoring clinical trials

Authors
Journal
Controlled Clinical Trials
0197-2456
Publisher
Elsevier
Publication Date
Volume
10
Issue
4
Identifiers
DOI: 10.1016/0197-2456(89)90001-9
Keywords
  • Clinical Trials
  • Sequential Methods
  • Stopping Rules
  • Bayesian Methods

Abstract

Abstract We describe some problems with applying methods based on classical sequential analysis to monitoring clinical trials. A Bayesian method is developed and the boundaries are compared with frequentist schemes. For the examples chosen, the Bayesian boundaries can be quite similar to those obtained from Pocock and O'Brien and Fleming (OBF) rules, depending on the choice of prior distribution. They converge less rapidly than OBF's but more rapidly than Pocock's. In general the Bayesian methods provide the same desirable features as frequentist methods, without sacrificing flexibility and simplicity of interpretation.

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