Please use this identifier to cite or link to this item: https://doi.org/10.1111/1467-9876.00394
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dc.titleEarly stopping by using stochastic curtailment in a three-arm sequential trial
dc.contributor.authorLeung, D.H.-Y.
dc.contributor.authorWang, Y.-G.
dc.contributor.authorAmar, D.
dc.date.accessioned2014-10-28T05:11:34Z
dc.date.available2014-10-28T05:11:34Z
dc.date.issued2003
dc.identifier.citationLeung, D.H.-Y., Wang, Y.-G., Amar, D. (2003). Early stopping by using stochastic curtailment in a three-arm sequential trial. Journal of the Royal Statistical Society. Series C: Applied Statistics 52 (2) : 139-152. ScholarBank@NUS Repository. https://doi.org/10.1111/1467-9876.00394
dc.identifier.issn00359254
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/105100
dc.description.abstractInterim analysis is important in a large clinical trial for ethical and cost considerations. Sometimes, an interim analysis needs to be performed at an earlier than planned time point. In that case, methods using stochastic curtailment are useful in examining the data for early stopping while controlling the inflation of type I and type II errors. We consider a three-arm randomized study of treatments to reduce perioperative blood loss following major surgery. Owing to slow accrual, an unplanned interim analysis was required by the study team to determine whether the study should be continued. We distinguish two different cases: when all treatments are under direct comparison and when one of the treatments is a control. We used simulations to study the operating characteristics of five different stochastic curtailment methods. We also considered the influence of timing of the interim analyses on the type I error and power of the test. We found that the type I error and power between the different methods can be quite different. The analysis for the perioperative blood loss trial was carried out at approximately a quarter of the planned sample size. We found that there is little evidence that the active treatments are better than a placebo and recommended closure of the trial.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1111/1467-9876.00394
dc.sourceScopus
dc.subjectBonferroni adjustment
dc.subjectConditional power
dc.subjectInterim analysis
dc.subjectPredictive power
dc.subjectStochastic curtailment
dc.subjectStopping time
dc.typeArticle
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.description.doi10.1111/1467-9876.00394
dc.description.sourcetitleJournal of the Royal Statistical Society. Series C: Applied Statistics
dc.description.volume52
dc.description.issue2
dc.description.page139-152
dc.identifier.isiut000182267100001
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