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Designing multi-arm multi-stage clinical studies

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

Publication date2014
Host publicationDevelopments in statistical evaluation of clinical trials
EditorsKees van Montfort, Johan Oud, Wendimagegn Ghidey
Place of PublicationBerlin
Number of pages19
ISBN (Electronic)9783642553455
ISBN (Print)9783642553448
<mark>Original language</mark>English


In the early stages of drug development there often is uncertainty about the most promising among a set of different treatments, different doses of the same treatment or sets of combinations of treatments. An efficient solution to determine which intervention is most promising are multi-arm multi-stage clinical studies (MAMS). In this chapter we will discuss the general concept to designing MAMS studies within the group sequential framework and provide detailed solutions for multi-arm multi-stage studies with normally distributed endpoints in which all promising treatments are continued at the interim analyses. An approach to find optimal designs is discussed as well as asymptotic solutions for binary, ordinal and time-to event endpoints.