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When is an adaptive design useful in clinical dose-finding trials?
Stockholm University, Faculty of Social Sciences, Department of Statistics.
2015 (English)In: Festschrift in Honor of Hans Nyquist on the occasion of his 65th birthday / [ed] Ellinor Fackle-Fornius, Stockholm: Stockholm University, 2015, 28-43 p.Chapter in book (Other academic)
Abstract [en]

During the development process for new drugs, dose-finding trials have to be conducted and the choice of their design is an important issue. Traditionally, the standard design is a balanced design where equally large groups of patients are treated with different doses of the new drug or with a control. However, it has been identified that other innovative designs might be more efficient: Optimal designs which use non-balanced allocation to dose, and adaptive designs where the allocation to the doses can be changed during the study based on results collected earlier in the study. In a simulation study we will compare efficiencies of balanced non-adaptive, optimal non-adaptive, adaptive two-stage and fully sequential adaptive designs.  In all situations considered one can gain from applying optimal design theory. However, when moving from the optimal non-adaptive design to an adaptive design, there are  situations where the design is improved and other situations where there is only a minor or no gain. Based on our considered situations, we generalize our observations to answer when an adaptive design is useful.

Place, publisher, year, edition, pages
Stockholm: Stockholm University, 2015. 28-43 p.
Keyword [en]
Adaptive design, Clinical trial, Dose-finding, Efficiency, Fully sequential design, Interim analysis, Optimal design, Two-stage design
National Category
Probability Theory and Statistics
Research subject
Medicine; Statistics
Identifiers
URN: urn:nbn:se:su:diva-124588ISBN: 978-91-87355-19-6 (print)OAI: oai:DiVA.org:su-124588DiVA: diva2:890162
Available from: 2015-12-31 Created: 2015-12-31 Last updated: 2017-02-02Bibliographically approved

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