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A method for determining the sampling ratio in epidemiologic studies.

H Morgenstern, D M Winn

    Statistics in Medicine
    |July 1, 1983
    PubMed
    Summary
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    Researchers developed a cost-efficient method to determine optimal sampling ratios for studies with binary outcomes. This approach simplifies sample size calculations for improved precision in effect estimation.

    Area of Science:

    • Epidemiology
    • Biostatistics
    • Health Research Methods

    Background:

    • Determining optimal sample size and sampling ratios is crucial for efficient study design.
    • Existing methods may not be universally applicable or cost-efficient for all study types.
    • Binary exposure and disease variables are common in epidemiological research.

    Purpose of the Study:

    • To introduce a novel, cost-efficient method for optimizing sampling ratios and sample sizes.
    • To provide a practical approach for studies with binary exposure and disease variables.
    • To enhance the precision of effect estimation relative to sampling costs.

    Main Methods:

    • Optimizing the sampling ratio by maximizing cost efficiency (precision/cost).
    • Calculating the optimal sampling ratio independently of group sample sizes.

    Related Experiment Videos

  • Deriving optimal sample sizes using the optimal ratio in power functions for comparing proportions.

    • Main Results:

    • The proposed method offers a straightforward calculation for the optimal sampling ratio.
    • The optimal sampling ratio is independent of the sample sizes of the compared groups.
    • The method was illustrated using a case-control design and compared to existing strategies.

    Conclusions:

    • The new method provides a practical and cost-efficient approach to optimize sampling strategies.
    • It simplifies the determination of optimal sample sizes for improved study precision.
    • This method is applicable to various study designs involving binary variables.