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Sample size requirements for stratified cluster randomization designs.

A Donner1

  • 1Department of Epidemiology and Biostatistics, University of Western Ontario, London, Canada.

Statistics in Medicine
|April 1, 1992
PubMed
Summary
This summary is machine-generated.

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This study provides sample size calculations for stratified cluster randomized designs. It generalizes existing formulas for the Cochran-Mantel-Haenszel statistic, aiding in study planning.

Area of Science:

  • Biostatistics
  • Epidemiology
  • Clinical Trials

Background:

  • Determining appropriate sample size is critical for the statistical power of studies.
  • Cluster randomized designs are frequently used in public health and medical research.
  • Stratification is often employed to enhance precision in cluster randomized trials.

Purpose of the Study:

  • To provide sample size requirements for studies using stratified cluster randomization.
  • To generalize existing sample size formulas for cluster randomized designs.
  • To address sample size considerations when cluster size is a stratifying factor.

Main Methods:

  • The study extends the Woolson et al. formula for sample size calculations.
  • The approach accommodates designs with clusters randomized within strata.

Related Experiment Videos

  • It considers scenarios where cluster size influences stratification.

    • Main Results:

    • A generalized formula for sample size requirements in stratified cluster randomized studies is presented.
    • The methodology accounts for the impact of stratification on sample size.
    • The approach is applicable to various study designs with clustered data.

    Conclusions:

    • The provided methods offer a robust framework for sample size determination in complex study designs.
    • Accurate sample size calculation is essential for valid statistical inference in stratified cluster randomized trials.
    • The study contributes to the methodological toolkit for planning efficient and powerful research studies.