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Related Experiment Videos

Power and sample size calculations for stochastic cost-effectiveness analysis

A H Briggs1, A M Gray

  • 1University of Oxford, Health Economics Research Centre, Institute of Health Sciences, Headington, United Kingdom.

Medical Decision Making : an International Journal of the Society for Medical Decision Making
|May 5, 1998
PubMed
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Calculating sample sizes for economic analyses alongside clinical trials is crucial. This study proposes a new formula for cost-effectiveness analysis sample size, addressing a gap in current research for better study design and power calculation.

Area of Science:

  • Health Economics
  • Clinical Trial Design
  • Biostatistics

Background:

  • Economic analyses are increasingly integrated into clinical trials.
  • Current methods lack rigorous attention to sample size calculations for economic evaluations.
  • A specific sample size formula for cost-effectiveness analysis is unavailable.

Purpose of the Study:

  • To address the lack of sample size formulas for cost-effectiveness analysis.
  • To provide a method for calculating required sample size at the study design stage.
  • To enable power calculations for cost-effectiveness analysis in existing trials.

Main Methods:

  • Building upon recent literature for confidence intervals of cost-effectiveness ratios.
  • Exploring techniques to derive a sample size formula.

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  • Utilizing a combination of confidence limits on costs and effects.

    • Main Results:

    • A novel approach to sample size calculation for cost-effectiveness analysis is explored.
    • The proposed method aims to integrate clinical and economic evaluation requirements.
    • The study lays the groundwork for deriving a practical sample size formula.

    Conclusions:

    • There is a need for robust sample size methodologies in health economic evaluations within clinical trials.
    • This research offers a potential solution by adapting confidence interval calculations.
    • Further development is needed to establish a definitive sample size formula for cost-effectiveness analysis.