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Related Experiment Videos

Sample size and power

S Sheps1

  • 1Department of Health Care and Epidemiology, Faculty of Medicine, University of British Columbia, Vancouver, Canada.

Journal of Investigative Surgery : the Official Journal of the Academy of Surgical Research
|November 1, 1993
PubMed
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Calculating sample size and statistical power is crucial in clinical research. Understanding their relationship with outcome variability and significance levels ensures robust study design and reliable results.

Area of Science:

  • Clinical Research Methodology
  • Biostatistics
  • Study Design

Background:

  • Sample size and statistical power are fundamental to clinical research.
  • Understanding these concepts is essential for designing valid studies.

Purpose of the Study:

  • To explain the basic concepts of sample size and power calculation in clinical research.
  • To elucidate the relationship between sample size, power, and outcome variability.
  • To discuss general issues in sample size and power determination.

Main Methods:

  • Conceptual explanation of sample size and power.
  • Discussion of factors influencing these calculations, including outcome measure variability.
  • Exploration of general considerations in study design.

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Main Results:

  • Provides a foundational understanding of sample size and power.
  • Highlights the impact of outcome variability on sample size requirements.
  • Emphasizes the distinction between clinical and statistical significance.

Conclusions:

  • Accurate sample size and power calculations are vital for clinical research.
  • Consideration of factors like variability and significance types is necessary.
  • Consultation with experts is critical for appropriate study design.