Please use this identifier to cite or link to this item: https://doi.org/10.1007/s10255-003-0120-4
DC FieldValue
dc.titleSome results on two-stage clinical trials
dc.contributor.authorChen, Y.-M.
dc.contributor.authorChen, G.-J.
dc.contributor.authorBai, Z.-D.
dc.contributor.authorHu, F.-F.
dc.date.accessioned2014-10-28T05:15:21Z
dc.date.available2014-10-28T05:15:21Z
dc.date.issued2003
dc.identifier.citationChen, Y.-M.,Chen, G.-J.,Bai, Z.-D.,Hu, F.-F. (2003). Some results on two-stage clinical trials. Acta Mathematicae Applicatae Sinica 19 (3) : 447-458. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/s10255-003-0120-4" target="_blank">https://doi.org/10.1007/s10255-003-0120-4</a>
dc.identifier.issn01689673
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/105379
dc.description.abstractAmong a variety of adaptive designs, stage-wise design, especially, two-stage design is an important one because patient responses are not available immediately but are available in batches or intermittently in some situations. In this paper, by Bayesian method, the general formula of asymptotical optimal worth is given, meanwhile the length of some optimal designs at first stage concerning two-stage trials in several important cases has been obtained. © Springer-Verlag 2003.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s10255-003-0120-4
dc.sourceScopus
dc.subjectAdaptive design
dc.subjectBayesian method
dc.subjectClinical trials
dc.subjectOptimal stopping time
dc.subjectTwo-stage method
dc.typeArticle
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.description.doi10.1007/s10255-003-0120-4
dc.description.sourcetitleActa Mathematicae Applicatae Sinica
dc.description.volume19
dc.description.issue3
dc.description.page447-458
dc.identifier.isiutNOT_IN_WOS
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