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Related Experiment Videos

Sample size for testing differences in proportions for the paired-sample design.

R J Connor

    Biometrics
    |March 1, 1987
    PubMed
    Summary
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    A new, conservative approximation for sample size calculations in matched-pair studies is introduced. This method offers a more reliable estimate than previous approximations, often aligning with independent-sample calculations.

    Area of Science:

    • Biostatistics
    • Statistical Methods
    • Clinical Trial Design

    Background:

    • Accurate sample size determination is crucial for the statistical power of studies comparing proportions in matched-pair designs.
    • Miettinen's (1968) approximation for power and sample size in matched-pair analyses is widely used but may lack precision.
    • Duffy (1984) demonstrated that Miettinen's approximation can overestimate power or underestimate necessary sample size.

    Purpose of the Study:

    • To present a simple, more conservative alternative approximation for power and sample size calculations in matched-pair studies.
    • To evaluate the performance of the proposed approximation against existing methods.

    Main Methods:

    • Development of a novel, conservative approximation for sample size and power calculations.

    Related Experiment Videos

  • Comparison of the new approximation with Miettinen's (1968) approximation and Duffy's (1984) exact power calculations.
  • Exploration of the utility of independent-sample case calculations as a conservative estimate for matched-pair designs.

    • Main Results:

    • The proposed alternative approximation is shown to be more conservative than Miettinen's approximation.
    • In numerous scenarios, the sample size required for an independent-sample case serves as a conservative approximation for the matched-pair design.
    • The new approximation provides a more reliable basis for study design power compared to Miettinen's method.

    Conclusions:

    • A simple and conservative approximation for matched-pair sample size calculations is introduced, improving upon Miettinen's method.
    • The sample size for independent samples can often be used as a conservative estimate for matched-pair studies.
    • This work provides a valuable tool for researchers designing studies involving matched-pair comparisons of proportions.