The Immunoassay Handbook 2013
DOI: 10.1016/b978-0-08-097037-0.00022-1
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Calibration Curve Fitting

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Cited by 18 publications
(19 citation statements)
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“…To calculate cytokine sample concentrations from the standard curves, we used a four-parameter logistic regression model 36,37 implemented in R with the package minpack . lm .…”
Section: Methodsmentioning
confidence: 99%
“…To calculate cytokine sample concentrations from the standard curves, we used a four-parameter logistic regression model 36,37 implemented in R with the package minpack . lm .…”
Section: Methodsmentioning
confidence: 99%
“…The dose-response curves were adjusted using the 4-parameter logistic model according to the following formula: y = A2 + (A1 − A2)/(1 + (x/x 0 )^p), with the parameters A1 the minimum initial value, A2 the maximum final value, x 0 the center and the power p = 3 of the sigmoidal curve. To determine the corresponding values the iteration algorithm according to Levenberg–Marquardt [41] was used. The median effective concentration (EC 50 = x 0 ) was defined as the concentration at which the immunoglobulins exerts half of their maximal optical density(OD).…”
Section: Methodsmentioning
confidence: 99%
“…MRZH reaction proficiency survey samples of the October 2012 to April 2016 campaigns were reassessed with algorithms based on modifications of two methods: the α method 8 and the 4PL method. 6,7 In a first step, the shortcomings of the single-pair evaluation were identified. The second step went into the development of methods for multiple-point evaluation.…”
Section: Introductionmentioning
confidence: 99%
“…This procedure is similar to setting up a calibration curve. 6,7 However, there are crucial differences: First, OD values from patient samples are analyzed instead of standardized samples. Second, not only method parameters are fitted to the data, but also concentration parameters (or their ratio).…”
Section: Introductionmentioning
confidence: 99%
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