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Related Experiment Videos

Statistical principles underlying analytic goal-setting in clinical chemistry.

E K Harris

    American Journal of Clinical Pathology
    |August 1, 1979
    PubMed
    Summary

    Reducing analytic variance in laboratory testing is crucial for clinical decisions. Improvements significantly impact patient monitoring and alarm point detection, but have less effect on population disease surveys.

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    Area of Science:

    • Clinical Chemistry
    • Laboratory Medicine
    • Biochemical Measurements

    Background:

    • College of American Pathologists (CAP) Survey programs assess analytic variance in biochemical tests.
    • Clinical chemists have proposed analytic goals to improve laboratory test precision.

    Purpose of the Study:

    • To evaluate the practical importance of reducing analytic variance based on laboratory test application.
    • To propose statistical methods for assessing the impact of improved analytic precision.

    Main Methods:

    • Analyzing laboratory test applications: population surveys, alarm point detection, and individual monitoring.
    • Estimating biological variation (within- and between-individual).
    • Applying statistical methods to judge the effect of reduced analytic variance.

    Main Results:

    • The impact of reduced analytic variance varies significantly with the laboratory test's application.
    • Reductions in analytic variance have minimal effect on population survey efficiency.
    • Reductions in analytic variance are highly valuable for individual patient monitoring and alarm point decisions.

    Conclusions:

    • The utility of reducing analytic variance is context-dependent, with greatest value in applications involving minimal biological variation.
    • Improvements in analytic precision are most beneficial for clinical decision-making regarding individual patients.
    • Statistical evaluation is essential to determine the practical impact of enhanced laboratory test precision.

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