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

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  • Hartung, Joachim

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.

Suggested Citation

  • Hartung, Joachim, 2000. "A self-designing rule for clinical trials with arbitrary response variables," Technical Reports 2000,11, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    • Handle: RePEc:zbw:sfb475:200011
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    File URL: https://www.econstor.eu/bitstream/10419/77109/2/2000-11.pdf
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    References listed on IDEAS

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    1. Yu Shen & Lloyd Fisher, 1999. "Statistical Inference for Self-Designing Clinical Trials with a One-Sided Hypothesis," Biometrics, The International Biometric Society, vol. 55(1), pages 190-197, March.
    2. John M. Kittelson & Scott S. Emerson, 1999. "A Unifying Family of Group Sequential Test Designs," Biometrics, The International Biometric Society, vol. 55(3), pages 874-882, September.
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