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Related Experiment Videos

Estimating the linear analytic range.

H B Lipman1, J R Astles

  • 1Division of Laboratory Systems, Public Health Practice Program Office, Centers for Disease Control and Prevention, Atlanta, GA 30341-3714, USA. hx10@cdc.gov

Clinica Chimica Acta; International Journal of Clinical Chemistry
|May 26, 1999
PubMed
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Establishing an assay's linear range requires a statistically sound method. This study introduces a new, accurate approach that outperforms traditional r-squared methods for assay linearity validation.

Area of Science:

  • Analytical Chemistry
  • Biostatistics
  • Clinical Diagnostics

Background:

  • Numerous methods exist to verify assay linearity or detect nonlinearity.
  • A statistically sound method for establishing an assay's linear range is lacking.
  • Standardization of manufacturers' claims regarding assay linearity is needed.

Purpose of the Study:

  • To propose a simple and statistically sound method for establishing an assay's linear range.
  • To provide a paradigm for standardizing manufacturers' claims of assay linearity.
  • To compare the proposed method with the coefficient of determination (r2) for accuracy.

Main Methods:

  • Development of a novel, statistically sound method for determining assay linear range.
  • Simulation studies to evaluate the performance of the proposed method.

Related Experiment Videos

  • Comparison of the proposed method against the coefficient of determination (r2).

    • Main Results:

    • The proposed method provides statistically sound estimates for the assay's linear range.
    • Simulations demonstrate superior accuracy of the proposed method compared to r2.
    • The method allows for the inclusion of tolerance limits for acceptable clinical nonlinearity.

    Conclusions:

    • A simple, statistically robust method for establishing assay linear range is presented.
    • This method offers a more accurate alternative to r2 for linear range estimation.
    • The proposed approach facilitates standardization and can incorporate clinical acceptability criteria.