Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/77230 
Year of Publication: 
2000
Series/Report no.: 
Technical Report No. 2000,12
Publisher: 
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen, Dortmund
Abstract: 
A class of self-designing clinical trials is considered which according to an effective but simple, finite learning algorithm consists of automatically adaptively planned weighted group sequential trials with a decision about rejection of the null-hypothesis at each step, but the full level-α-test at the end of the study preserved.
Document Type: 
Working Paper

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