Calibration curves for ligand binding assays are generally characterized by a nonlinear relationship between the mean response and the analyte concentration. Typically, the response exhibits a sigmoidal relationship with concentration. The currently accepted reference model for these calibration curves is the 4-parameter logistic (4-PL) model, which optimizes accuracy and precision over the maximum usable calibration range. Incorporation of weighting into the model requires additional effort but generally results in improved calibration curve performance. For calibration curves with some asymmetry, introduction of a fifth parameter (5-PL) may further improve the goodness of fit of the experimental data to the algorithm. Alternative models should be used with caution and with knowledge of the accuracy and precision performance of the model across the entire calibration range, but particularly at upper and lower analyte concentration areas, where the 4- and 5-PL algorithms generally outp
%0 Journal Article
%1 Findlay.2007
%A Findlay, J. W.
%A Dillard, R. F.
%D 2007
%J AAPS.J.
%K & Algorithms Analytical Binding Calibration Chemistry Dose-Response Drug Ligands Models Pharmaceutical Pharmacokinetics Preparations Protein RANGE Relationship Reproducibility Research Results Sensitivity Specificity Statistical analysis and data metabolism methods numerical of response statistics
%N 2
%P E260-E267
%T Appropriate calibration curve fitting in ligand binding assays
%U PM:17907767
%V 9
%X Calibration curves for ligand binding assays are generally characterized by a nonlinear relationship between the mean response and the analyte concentration. Typically, the response exhibits a sigmoidal relationship with concentration. The currently accepted reference model for these calibration curves is the 4-parameter logistic (4-PL) model, which optimizes accuracy and precision over the maximum usable calibration range. Incorporation of weighting into the model requires additional effort but generally results in improved calibration curve performance. For calibration curves with some asymmetry, introduction of a fifth parameter (5-PL) may further improve the goodness of fit of the experimental data to the algorithm. Alternative models should be used with caution and with knowledge of the accuracy and precision performance of the model across the entire calibration range, but particularly at upper and lower analyte concentration areas, where the 4- and 5-PL algorithms generally outp
@article{Findlay.2007,
abstract = {Calibration curves for ligand binding assays are generally characterized by a nonlinear relationship between the mean response and the analyte concentration. Typically, the response exhibits a sigmoidal relationship with concentration. The currently accepted reference model for these calibration curves is the 4-parameter logistic (4-PL) model, which optimizes accuracy and precision over the maximum usable calibration range. Incorporation of weighting into the model requires additional effort but generally results in improved calibration curve performance. For calibration curves with some asymmetry, introduction of a fifth parameter (5-PL) may further improve the goodness of fit of the experimental data to the algorithm. Alternative models should be used with caution and with knowledge of the accuracy and precision performance of the model across the entire calibration range, but particularly at upper and lower analyte concentration areas, where the 4- and 5-PL algorithms generally outp},
added-at = {2010-02-05T11:28:39.000+0100},
author = {Findlay, J. W. and Dillard, R. F.},
biburl = {https://www.bibsonomy.org/bibtex/2bc2ca7992c0575aea1a335cb36445dc3/kanefendt},
interhash = {7810e3fd29f5a27eb345998bd7f08d81},
intrahash = {bc2ca7992c0575aea1a335cb36445dc3},
journal = {AAPS.J.},
keywords = {& Algorithms Analytical Binding Calibration Chemistry Dose-Response Drug Ligands Models Pharmaceutical Pharmacokinetics Preparations Protein RANGE Relationship Reproducibility Research Results Sensitivity Specificity Statistical analysis and data metabolism methods numerical of response statistics},
number = 2,
pages = {E260-E267},
timestamp = {2010-02-05T11:28:55.000+0100},
title = {Appropriate calibration curve fitting in ligand binding assays},
url = {PM:17907767},
volume = 9,
year = 2007
}