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[Practical aspects regarding sample size in clinical research]

B Vega Ramos1, O Peraza Yanes, G Herrera Correa

  • 1Hospital de Especialidades del CMN El Fénix, Mérida, Yuc.

Revista De Gastroenterologia De Mexico
|July 1, 1996
PubMed
Summary
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Determining the correct sample size is crucial for reliable medical research. This guide explains statistical concepts and provides four methods for sample size estimation in studies.

Area of Science:

  • Biostatistics
  • Medical Research Methodology
  • Statistical Analysis

Context:

  • Ensuring the statistical validity of published medical research is essential.
  • Inadequate sample size can lead to unreliable study designs and conclusions.
  • Statistical analysis relies on appropriate sample size determination for accurate results.

Purpose:

  • To elucidate fundamental statistical concepts relevant to sample size calculation.
  • To present four distinct methods for estimating sample size in medical studies.
  • To guide researchers in selecting appropriate statistical formulas based on study design.

Summary:

  • This paper reviews essential statistical principles, including type I and type II errors, variance, effect size, significance, and statistical power.

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  • It details how to choose the correct sample size formula based on study type (e.g., prevalence, mean values, comparative studies).
  • Four practical examples of sample size estimation are provided to illustrate the methodologies.

    • Impact:

    • Enhances the rigor and reproducibility of medical research findings.
    • Empowers researchers to design studies with adequate statistical power.
    • Contributes to more confident interpretation of results in clinical and epidemiological studies.