Sample Size Reestimation by Bayesian Prediction

Ming-Dauh Wang,

Corresponding Author

Ming-Dauh Wang

[email protected]

Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA

Phone: +1 317 276 3479, Fax: +1 317 277 3220Search for more papers by this author

Ming-Dauh Wang,

Corresponding Author

Ming-Dauh Wang

[email protected]

Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA

Phone: +1 317 276 3479, Fax: +1 317 277 3220Search for more papers by this author

First published: 14 June 2007

https://doi.org/10.1002/bimj.200310273

Citations: 20

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Abstract

We review a Bayesian predictive approach for interim data monitoring and propose its application to interim sample size reestimation for clinical trials. Based on interim data, this approach predicts how the sample size of a clinical trial needs to be adjusted so as to claim a success at the conclusion of the trial with an expected probability. The method is compared with predictive power and conditional power approaches using clinical trial data. Advantages of this approach over the others are discussed. (© 2007 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)

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Volume49, Issue3

June 2007

Pages 365-377

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