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Sample Size Reestimation by Bayesian Prediction
Author(s) -
Wang MingDauh
Publication year - 2007
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.200310273
Subject(s) - interim , sample size determination , bayesian probability , interim analysis , predictive power , clinical trial , sample (material) , statistics , econometrics , computer science , mathematics , medicine , chemistry , philosophy , archaeology , epistemology , chromatography , history
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)