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On establishing reference values.

J H Lumsden, K Mullen

    Canadian Journal of Comparative Medicine : Revue Canadienne De Medecine Comparee
    |July 1, 1978
    PubMed
    Summary
    This summary is machine-generated.

    Establishing reference values involves choosing between Gaussian and nonparametric methods for calculating tolerance or percentile intervals. Gaussian methods offer greater precision with smaller sample sizes when data distribution allows for transformation.

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    Area of Science:

    • Biostatistics
    • Statistical Analysis

    Background:

    • Establishing reference values is crucial for interpreting data across various scientific disciplines.
    • Selecting appropriate statistical techniques ensures the reliability and accuracy of these reference values.

    Purpose of the Study:

    • To outline methods for establishing reference value ranges using Gaussian and nonparametric techniques.
    • To compare the efficiency and applicability of tolerance versus percentile intervals.
    • To emphasize the importance of data preprocessing, including outlier detection.

    Main Methods:

    • Discusses the use of Gaussian (parametric) and nonparametric statistical methods.
    • Explains the calculation and interpretation of tolerance intervals and percentile intervals.
    • Highlights data transformation techniques to achieve Gaussian distribution.

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    Main Results:

    • Gaussian techniques can yield higher precision with smaller sample sizes if data distribution is suitable.
    • Nonparametric techniques provide an alternative when data does not follow a Gaussian distribution.
    • Outlier identification and removal are critical steps in both approaches.

    Conclusions:

    • The choice between Gaussian and nonparametric methods depends on data distribution and desired precision.
    • Data transformation can enable the use of more efficient Gaussian methods.
    • Rigorous outlier management is essential for valid reference value establishment.