A self-designing rule for clinical trials with arbitrary response variables

Joachim Hartung

No 2000,11, Technical Reports from Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen

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.

Date: 2000
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:sfb475:200011

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