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Testing strategies in multi-dose experiments including active control

P Bauer1, J Röhmel, W Maurer

  • 1Institut für Medizinische Statistik, Universität Wien, Austria. peter.bauer@univie.ac.at

Statistics in Medicine
|October 28, 1998
PubMed
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New inferential strategies for multi-arm trials compare multiple doses against placebo and active controls. These methods ensure trial sensitivity before detailed comparisons, controlling the experimentwise error rate for robust results.

Area of Science:

  • Biostatistics
  • Clinical Trial Design
  • Pharmacometrics

Background:

  • Multi-arm clinical trials often involve multiple doses of a test treatment alongside placebo and active controls.
  • Standard inferential procedures may not adequately address the complexities of comparing multiple doses within such trial designs.

Purpose of the Study:

  • To adapt and propose novel inferential test strategies for multi-arm trials with multiple dose levels.
  • To ensure that detailed comparisons are only performed when the trial's sensitivity is established, such as demonstrating a dose-response relationship or a significant difference between active control and placebo.

Main Methods:

  • Introduction of split strategies, hierarchical procedures (assuming dose ordering), and linked procedures.
  • Linked procedures establish equivalence to the active control only if the dose proves effective against placebo.

Related Experiment Videos

  • All proposed methods control the experimentwise error rate in the strong sense for specified null hypotheses.

    • Main Results:

    • The developed strategies provide a framework for robust statistical inference in complex multi-arm trials.
    • The procedures ensure that comparisons are meaningful by first establishing overall trial sensitivity.
    • Experimentwise error rate is strictly controlled, enhancing the reliability of findings.

    Conclusions:

    • The proposed inferential procedures offer advanced statistical tools for analyzing multi-arm trials with multiple doses.
    • These methods support rigorous evaluation of test treatments by linking dose-response, placebo, and active control comparisons.
    • The strong control of the experimentwise error rate ensures the validity of conclusions drawn from these trials.