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Related Experiment Videos

[Sample size and number needed to treat--a statistical case study].

K Møller1, G Kronborg, A Dirksen

  • 1Epidemiafdeling M, H:S Rigshospitalet. kirsten.moller@dadlnet.dk

Ugeskrift for Laeger
|November 22, 2001
PubMed
Summary
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Calculating the required sample size for a vaccine clinical trial involves disease incidence data and desired statistical power. This method helps determine the number of participants needed to demonstrate a vaccine

Area of Science:

  • Clinical Trials Methodology
  • Vaccinology
  • Biostatistics

Context:

  • Randomized clinical trials (RCTs) are crucial for evaluating vaccine efficacy.
  • Accurate sample size calculation is essential for the validity and efficiency of RCTs.
  • Pneumococcal sepsis incidence data provides a specific application for these methods.

Purpose:

  • To outline a method for calculating the necessary sample size for vaccine efficacy trials.
  • To demonstrate sample size calculation using the example of a pneumococcal vaccine RCT.
  • To provide a framework for determining the number of individuals needed to prevent disease events.

Summary:

  • Sample size for vaccine RCTs is determined by baseline disease incidence, expected vaccine effectiveness, significance level, and statistical power.

Related Experiment Videos

  • The calculation is demonstrated for a pneumococcal vaccine trial targeting sepsis incidence.
  • The number of individuals to vaccinate to prevent one disease case can also be derived.

    • Impact:

    • Enables researchers to design more efficient and statistically sound vaccine clinical trials.
    • Facilitates accurate estimation of resources and participant numbers for vaccine studies.
    • Supports evidence-based decision-making in public health and infectious disease prevention.