Statistical Aspects of Radioimmunoassay

Rodbard, David; Guardabasso, Vincenzo; Munson, Peter J.

doi:10.1007/978-3-642-71809-0_8

Cited by 17 publications

(9 citation statements)

References 14 publications

(4 reference statements)

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“…Our data showed that the reliability of estimations for unknown samples, and consequently the clinical value of the laboratory results, was affected by the statistical model used for the calibration curve. First, we confirmed data from the literature concerning the inadequacy of the straight line regression model, commonly used in laboratory practice to fit calibration curves (11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)27). Moreover, in its standard use, this approach did not yield any information about the variance of the dose-response curve.…”

Section: Discussionsupporting

confidence: 79%

“…Such a situation, coupled with possible non-normal distribution of errors, prevents the correct application of standard inference procedures for statistical testing and interval estimation (24). Accounting for the non-linear dose-response relationship, suitable statistical methods were required to estimate the variance function parameter u (27). Furthermore, the use of an assay design with a geometric progression in calibrator concentrations is unsuitable for building a straight line calibration model (28).…”

Section: Discussionmentioning

confidence: 99%

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Impact of calibration fitting models on the clinical value of chromogranin A

Ferraro

Marano²,

Ciardi

et al. 2009

Clinical Chemistry and Laboratory Medicine

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Background: The clinical relevance of chromogranin A (CgA) concentrations depends on the analytical performance of the assay. The goal of the present study was to define the clinical involvements in CgA calibration models by evaluating the confidence intervals (CIs) for values from patients who were undergoing monitoring for disease. Methods: Thirty calibration curves for the CgA assay wimmunoradiometric assay (IRMA), (CIS-BIO)x were built using linear regression (LR), and four-parameter logistic models were used to estimate CIs for patient concentrations. Results: We reported the inadequacy of the LR curve estimation procedure. We showed: 1) no evidence that the straight calibration line could fit the average responses, 2) non-constant and non-uniform variance of the replicated calibration responses. All tests performed in the analysis of variance and CI calculation for the calibration curve should be invalidated. The four-parameter logistic function yielded results for 16 curves only; this result could be due to the low number and inappropriate concentration of calibrators. This suggests that some aspects of the assay design should be reviewed. However, using the variance function estimated in this model, we could assess the CI for calibration curves and patient samples. Conclusions: We showed that the four-parameter logistic calibration model with estimated variance function should better support clinical interpretation of marker concentration changes in patients serially tested.

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Section: Discussionsupporting

confidence: 79%

Section: Discussionmentioning

confidence: 99%

Impact of calibration fitting models on the clinical value of chromogranin A

Ferraro

Marano²,

Ciardi

et al. 2009

Clinical Chemistry and Laboratory Medicine

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“…The intra-and interassay coefficients of variation were calculated according to the method of Rodbard (1971 For personal use only. …”

Section: Statisticsmentioning

confidence: 99%

REPRODUCTIVE PERFORMANCE OF PREPUBERTAL DAIRY HEIFERS ON LOW OR HIGH Β-Carotene DIETS

Tekpetey¹,

Palmer²,

Ingalls³

1987

Can. J. Anim. Sci.

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“…the within-assay coeffi cient of variation (CV) was 7%; the between-assay CV was 12%; the assay can detect as little as 3 pg of VP. For the OT RIA, the withinassay CV was 6%; the between-assay CV was 15%; the assay can detect as little as 10 pg OT [15].…”

Section: Radioimmunoassay1 !mentioning

confidence: 99%

Effect of Cysteamine Injection on Vasopressin and Oxytocin Biosynthesis in Rat Hypothalamus

1994

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Cysteamine (CSH), a sulfhydryl agent that promotes disulfide-exchange reactions, was studied for its effects on the immunoreactive (IR) levels and synthesis of oxytocin and vasopressin in the hypothalamus. CSH injection (300 mg/ kg s.c.) caused a rapid (1 h) suppression of ³⁵S-cysteine incorporation into hypothalamic arginine vasopressin (VP) and oxytocin (OT). The reduction in labeling persisted for about 8 h; label incorporation was normal within 10 h of CSH administration. The drug did not influence ³⁵S-cysteine incorporation into acid-precipitable protein, nor did it influence ³⁵S-cysteine specific activity in the hypothalamus. In addition, ³⁵S-VP and ³⁵S-OT molecules could not be recovered from hypothalami of CSH-treated rats by subjecting samples to denaturing, reducing and then reoxidizing conditions. Despite the reduction in peptide labeling, CSH treatment produced no alterations in the IR VP and OT contents of hypothalamus or posterior pituitary. These results indicate that CSH causes a true suppression of both VP and OT formation in hypothalamus, and suggest that the effect is either too transient to promote a reduction in endogenous stores of either peptide, or that the drug equally inhibits peptide production and removal (i.e., axonal transport, secretion).

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Statistical Aspects of Radioimmunoassay

Cited by 17 publications

References 14 publications

Impact of calibration fitting models on the clinical value of chromogranin A

Impact of calibration fitting models on the clinical value of chromogranin A

REPRODUCTIVE PERFORMANCE OF PREPUBERTAL DAIRY HEIFERS ON LOW OR HIGH Β-Carotene DIETS

Effect of Cysteamine Injection on Vasopressin and Oxytocin Biosynthesis in Rat Hypothalamus

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