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Related Experiment Videos

Practical midcourse sample size modification in clinical trials.

Michael A Proschan1, Qing Liu, Sally Hunsberger

  • 1National Heart, Lung, and Blood Institute, Bethesda, MD, USA. ProschaM@nhlbi.nih.gov

Controlled Clinical Trials
|February 1, 2003
PubMed
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Clinical trial planning requires careful sample size determination. This study suggests a conservative approach for adjusting sample size mid-trial, allowing increases but not decreases, to maintain trial integrity.

Area of Science:

  • Clinical Trials
  • Biostatistics
  • Medical Research Methodology

Background:

  • Accurate sample size calculation is crucial for well-designed clinical trials.
  • Limited pre-trial data often necessitates mid-trial adjustments to sample size.
  • Recent literature shows increased interest in flexible trial designs and mid-course corrections.

Purpose of the Study:

  • To address the need for sample size adjustments in clinical trials.
  • To propose a conservative method for modifying sample size after initial data review.
  • To provide methods for calculating p-values and confidence intervals for a two-stage design.

Main Methods:

  • A two-stage adaptive clinical trial design is presented.
  • The method focuses on adjusting sample size based on interim data.

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  • Procedures for computing p-values and confidence intervals are detailed.

    • Main Results:

    • A conservative approach allows for increasing sample size but not decreasing it.
    • This method facilitates sample size modification while preserving statistical validity.
    • If the initial sample size is kept, the analysis mirrors a fixed-sample procedure.

    Conclusions:

    • Mid-course sample size adjustments in clinical trials are feasible with a conservative strategy.
    • The proposed two-stage procedure offers a practical solution for adapting trial sizes.
    • This approach helps manage uncertainty in treatment effect estimation during a trial.