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Related Experiment Videos

Estimating sample sizes for binary, ordered categorical, and continuous outcomes in two group comparisons

M J Campbell1, S A Julious, D G Altman

  • 1Medical Statistics and Computing, University of Southampton, Southampton General Hospital.

BMJ (Clinical Research Ed.)
|October 28, 1995
PubMed
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Calculating appropriate sample sizes is crucial for research protocols. This guide provides accessible methods for determining sample sizes in two-group studies with binary, categorical, or continuous outcomes, including unequal group scenarios.

Area of Science:

  • Biostatistics
  • Clinical Research Methodology

Background:

  • Sample size calculations are essential for research protocol approval.
  • Accessible resources for common sample size determination scenarios are limited.

Purpose of the Study:

  • To provide practical guidance on sample size calculations for two-group studies.
  • To cover binary, ordered categorical, and continuous outcomes.
  • To offer formulas and examples for both equal and unequal group sizes.

Main Methods:

  • Outlines methodologies for sample size determination.
  • Provides specific formulas for different outcome types.
  • Includes worked examples for practical application.

Main Results:

Related Experiment Videos

  • Demonstrates how to calculate sample sizes for binary, ordered categorical, and continuous data.
  • Highlights that equal group sizes generally maximize statistical power.
  • Presents methods for calculating sample sizes with unequal group allocations.

    • Conclusions:

    • Offers a valuable resource for researchers needing to perform sample size calculations.
    • Ensures researchers can determine adequate sample sizes for common study designs.
    • Facilitates robust study design by addressing unequal group size possibilities.