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Related Experiment Videos

The imprecision profile in immunoassay. A study using a resampling technique.

A Chiecchio1, F Giglioli, R Malvano

  • 1Servizio di Fisica Sanitaria, Ospedale Mauriziano, Turin, Italy.

Journal of Immunological Methods
|March 4, 1992
PubMed
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Bootstrap resampling validated the imprecision profile (IP) for T4 radioimmunoassay (RIA) and TSH immunofluorometric assay (IFMA). Approximately 100 duplicate data points ensured acceptable IP definition for both assays.

Area of Science:

  • * Clinical Chemistry
  • * Immunoassay Development
  • * Statistical Modeling in Assays

Background:

  • * Accurate imprecision profiling (IP) is crucial for reliable diagnostic assay interpretation.
  • * Existing methods for IP calculation, particularly response/error relationship (RER) fitting, require robust validation.
  • * Radioimmunoassay (RIA) and immunofluorometric assay (IFMA) are common immunoassay techniques with distinct characteristics.

Purpose of the Study:

  • * To assess the reliability of imprecision profiles (IP) calculated using bootstrap resampling.
  • * To compare different response/error relationship (RER) fitting conditions and data set sizes for IP calculation.
  • * To evaluate the suitability of least-square versus maximum-likelihood fitting for RER parameter estimation.

Main Methods:

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  • * Application of bootstrap resampling to cumulative data from duplicate T4 RIA and TSH IFMA assays.
  • * Analysis of dose/response curves and response/error relationships (RER) to determine IP.
  • * Comparison of mean values and uncertainty of estimated dose errors under various RER fitting conditions and duplicate response set sizes.

Main Results:

  • * Least-square fitting was unsuitable for estimating RER parameters (variance(R) = aRb) compared to maximum-likelihood procedures.
  • * The assumption of a constant exponent in the RER equation was valid for T4 RIA but not for TSH IFMA due to its wider response range.
  • * Approximately 100 duplicate response sets were sufficient for an acceptable IP definition (10-20% uncertainty) in both assays.

Conclusions:

  • * Bootstrap resampling provides a reliable method for validating imprecision profiles in immunoassays.
  • * Careful selection of RER fitting methods and consideration of assay-specific characteristics are essential for accurate IP.
  • * A minimum of approximately 100 duplicate data points is recommended for robust IP estimation in T4 RIA and TSH IFMA.