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Related Experiment Videos

Coupled error spending functions for parallel bivariate sequential tests

R J Cook1

  • 1Department of Statistics and Actuarial Science, University of Waterloo, Canada.

Biometrics
|June 1, 1996
PubMed
Summary
This summary is machine-generated.

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New sequential procedures enable flexible marginal monitoring of bivariate responses in clinical trials. These methods ensure statistical power for significance tests, aiding in efficient trial management.

Area of Science:

  • Biostatistics
  • Clinical Trial Design

Background:

  • Sequential monitoring is crucial for adaptive clinical trial management.
  • Existing methods may lack flexibility in controlling error rates for bivariate responses.

Purpose of the Study:

  • To develop sequential procedures for marginal monitoring of bivariate response vectors in clinical trials.
  • To offer flexibility in controlling either the overall experimental or marginal type I error rates.

Main Methods:

  • Extension of the Lan and DeMets error spending function methodology.
  • Incorporation of repeated confidence intervals for enhanced flexibility.
  • Sample size calculations to ensure adequate power for marginal tests.

Main Results:

Related Experiment Videos

  • Developed flexible sequential procedures for bivariate data.
  • Demonstrated methods for controlling type I error rates.
  • Provided sample size guidance for power requirements.

    • Conclusions:

    • The proposed methods offer a flexible framework for monitoring bivariate responses in clinical trials.
    • These procedures can be adapted to fix experimental or marginal error rates.
    • The approach is illustrated using data from an asthma intervention trial.