Sample size reestimation by Bayesian prediction. Export

@article{citeulike:5918290, 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.}, author = {Wang, Ming-Dauh D.}, citeulike-article-id = {5918290}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/bimj.200310273}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/17623342}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=17623342}, doi = {10.1002/bimj.200310273}, issn = {0323-3847}, journal = {Biometrical journal. Biometrische Zeitschrift}, keywords = {bayes, power}, month = {June}, number = {3}, pages = {365--377}, posted-at = {2009-10-10 05:47:29}, priority = {2}, title = {Sample size reestimation by Bayesian prediction.}, url = {http://dx.doi.org/10.1002/bimj.200310273}, volume = {49}, year = {2007} }

TY - JOUR ID - citeulike:5918290 L3 - citeulike-article-id:5918290 N2 - 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. IS - 3 JF - Biometrical journal. Biometrische Zeitschrift SN - 0323-3847 EP - 377 TI - Sample size reestimation by Bayesian prediction. VL - 49 SP - 365 KW - bayes KW - power AU - Wang, Ming-Dauh PY - 2007/06// UR - http://dx.doi.org/10.1002/bimj.200310273 ER -