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Radioligand Assay.

D J Finney

    Biometrics
    |December 1, 1976
    PubMed
    Summary
    This summary is machine-generated.

    This study details robust methods for estimating parameters in radioimmunoassay and immunoradiometric assay potency estimation, using a logistic curve model and considering count variance. It also outlines requirements for a user-friendly computer program for routine assay analysis.

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    Area of Science:

    • Biostatistics
    • Radioimmunoassay
    • Immunoradiometric Assay

    Background:

    • Potency estimation in radioimmunoassays (RIA) and immunoradiometric assays (IRA) relies on the relationship between radioactivity counts and dose.
    • A logistic curve is often used to model this relationship, with unknown parameters for its limits.

    Purpose of the Study:

    • To develop robust methods for estimating all parameters in logistic curve models for RIA and IRA.
    • To investigate the impact of count variance proportionality (to UJ) on parameter estimation.
    • To describe requirements for a computer program for routine assay analysis.

    Main Methods:

    • Parameter estimation using a logistic curve model with variance proportional to UJ (J between 1.0 and 2.0).
    • Exploration of least squares and maximum likelihood procedures.

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  • Consideration of single versus multiple doses per test preparation.

    • Main Results:

    • Parameter estimation is robust to the choice of J and the specific statistical procedure used.
    • The model accommodates variance proportional to UJ, improving estimation accuracy.
    • Illustrative data from an oestradiol assay demonstrate the methods.

    Conclusions:

    • The proposed methods provide reliable potency estimation in RIA and IRA.
    • The study supports the use of a logistic curve with specific variance assumptions.
    • A comprehensive computer program can facilitate routine use by non-expert assayists.