Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/77109
Authors: 
Hartung, Joachim
Year of Publication: 
2000
Series/Report no.: 
Technical Report, SFB 475: Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 2000,11
Abstract: 
For testing one-sided but also two-sided hypotheses concerning several treatment arms in group sequentially performed clinical trials with arbitrary outcome variables, a general learning method is considered that allows for a complete self-designing of the study. All information available prior to a stage is used for estimating the sample size and the weight for the next step. In ‘using up’ the variance, the test statistic is built in a bounded finite but random number of stages to test just once the null-hypothesis on rejecting.
Document Type: 
Working Paper

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