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Sample sizes for group sequential cohort and case-control study designs

B S Pasternack, R E Shore

    American Journal of Epidemiology
    |February 1, 1981
    PubMed
    Summary
    This summary is machine-generated.

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    Group sequential methods offer a more efficient sample size calculation for cohort and case-control studies compared to traditional fixed plans. These methods allow for repeated significance testing while maintaining statistical integrity.

    Area of Science:

    • Epidemiology
    • Biostatistics

    Background:

    • Traditional fixed sample size calculations may not be optimal for accumulating data over time in cohort and case-control studies.
    • Sequential methods allow for interim analyses, potentially improving efficiency.

    Purpose of the Study:

    • To propose and evaluate group sequential methods for sample size calculations in cohort and case-control studies.
    • To compare the efficiency of group sequential designs against conventional fixed sample size plans.

    Main Methods:

    • The study utilizes the theory of repeated significance tests, a type of sequential analysis.
    • Sample sizes were calculated for group sequential and fixed sample size designs under constant relative risk.
    • Computer simulations were performed to assess performance with stratified analyses and unequal group sizes.

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    Main Results:

    • Group sequential designs generally require a smaller average sample size compared to fixed sample size plans.
    • These methods maintain the overall significance level despite interim analyses.
    • Simulations confirmed the applicability of group sequential methods for stratified analyses and unequal sample sizes.

    Conclusions:

    • Group sequential methods provide a more efficient approach to sample size determination for cohort and case-control studies.
    • The proposed methods are robust and can be applied in complex scenarios, including stratified analyses and unequal group sizes.