Testing and estimation in flexible group sequential designs with adaptive treatment selection

Integrating selection and confirmation phases into a single trial can expedite the development of new treatments and allows to use all accumulated data in the decision process. In this paper we review adaptive treatment selection based on combination tests and propose overall adjusted p‐values and s...

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Bibliographic Details
Published in:	Statistics in medicine Vol. 24; no. 24; pp. 3697 - 3714
Main Authors:	Posch, Martin, Koenig, Franz, Branson, Michael, Brannath, Werner, Dunger-Baldauf, Cornelia, Bauer, Peter
Format:	Journal Article
Language:	English
Published:	Chichester, UK John Wiley & Sons, Ltd 30-12-2005 Wiley Subscription Services, Inc
Subjects:	Austria Clinical trials Clinical Trials as Topic Confidence Intervals Design of experiments flexible designs Humans Models, Statistical Research Design Research methodology simultaneous confidence intervals Therapies, Investigational - statistics & numerical data treatment selection Austria
Online Access:	Get full text
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Summary:	Integrating selection and confirmation phases into a single trial can expedite the development of new treatments and allows to use all accumulated data in the decision process. In this paper we review adaptive treatment selection based on combination tests and propose overall adjusted p‐values and simultaneous confidence intervals. Also point estimation in adaptive trials is considered. The methodology is illustrated in a detailed example based on an actual planned study. Copyright © 2005 John Wiley & Sons, Ltd.
Bibliography:	ArticleID:SIM2389 ark:/67375/WNG-7M230J43-Z FWF - No. P15853-N04 istex:367F51B72B8AC4B8BE48C075D8613C1C40D39DC4 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	0277-6715 1097-0258
DOI:	10.1002/sim.2389