PMID: 3752243Sep 1, 1986Paper

Variance weighting functions in radioimmunoassay calibration

The American Journal of Physiology
T W GettysD M Henricks

Abstract

Software packages for radioimmunoassay calibration assume that expected counting rate is a function of ligand dose. Previous studies have indicated that variances of counting rate are also related to dose, but the structure of individual assays does not permit precise estimation of counting rate variances at individual doses. The method described here uses results from an accumulation of assays to characterize the relationship between mean and variance of counting rate, thus providing a variance weighting function for the calibration. Analysis of 140 cortisol assays, all with two replicates of each of 50 sources (9 standard doses, 3 quality control preps, and 38 unknowns), led to an asymmetric rising ogive relating variances to means of counting rates. A rectangular hyperbola provided an adequate characterization of this relationship in an accumulation of 21 testosterone assays. Relationships between mean and variance of counting rate in 19 growth hormone assays and 7 triiodothyronine assays were characterized by a straight line and a rising exponential curve, respectively. Calibration curves, such as the commonly adopted logistic ogive in relation to log dose, are fitted by weighted least squares to observed counts directly us...Continue Reading

References

Aug 1, 1984·Journal of Animal Science·D M HenricksL W Grimes

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Citations

Aug 30, 2005·FASEB Journal : Official Publication of the Federation of American Societies for Experimental Biology·Yubin ZhangThomas W Gettys

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