In an attempt to optimize curve fitting for immunoradiometric assays, we investigated eight data-reduction methods with two commercially available assays of thyrotropin. In four of these methods linear data-reduction models are used: logit-log programs of Iso-Data, Micromedic, and Hewlitt-Packard, and probit-log of Hewlitt-Packard. The other four were nonlinear data-reduction models: Iso-Data's "French curve" (modified spline), four-parameter logistic function, and point-to-point methods, as well as a nonlinear least squares method. In using the eight data-reduction methods on data from analyses of 78 patients' samples, we found clinically relevant differences between models. In fact, differences found by changing data-reduction models were greater than the difference between the two commercial kits
%0 Journal Article
%1 Haven.1987
%A Haven, M. C.
%A Orsulak, P. J.
%A Arnold, L. L.
%A Crowley, G.
%D 1987
%J Clin.Chem.
%K Diagnostic Humans Hyperthyroidism Hypothyroidism Immunoassay Iodine Kits Mathematics Radioisotopes Reagent Software Statistics Thyrotropin Topic as blood methods
%N 7
%P 1207-1210
%T Data-reduction methods for immunoradiometric assays of thyrotropin compared
%U PM:3594849
%V 33
%X In an attempt to optimize curve fitting for immunoradiometric assays, we investigated eight data-reduction methods with two commercially available assays of thyrotropin. In four of these methods linear data-reduction models are used: logit-log programs of Iso-Data, Micromedic, and Hewlitt-Packard, and probit-log of Hewlitt-Packard. The other four were nonlinear data-reduction models: Iso-Data's "French curve" (modified spline), four-parameter logistic function, and point-to-point methods, as well as a nonlinear least squares method. In using the eight data-reduction methods on data from analyses of 78 patients' samples, we found clinically relevant differences between models. In fact, differences found by changing data-reduction models were greater than the difference between the two commercial kits
@article{Haven.1987,
abstract = {In an attempt to optimize curve fitting for immunoradiometric assays, we investigated eight data-reduction methods with two commercially available assays of thyrotropin. In four of these methods linear data-reduction models are used: logit-log programs of Iso-Data, Micromedic, and Hewlitt-Packard, and probit-log of Hewlitt-Packard. The other four were nonlinear data-reduction models: Iso-Data's "French curve" (modified spline), four-parameter logistic function, and point-to-point methods, as well as a nonlinear least squares method. In using the eight data-reduction methods on data from analyses of 78 patients' samples, we found clinically relevant differences between models. In fact, differences found by changing data-reduction models were greater than the difference between the two commercial kits},
added-at = {2010-02-05T11:28:39.000+0100},
author = {Haven, M. C. and Orsulak, P. J. and Arnold, L. L. and Crowley, G.},
biburl = {https://www.bibsonomy.org/bibtex/2e3c124a2cf35695901a1eb6deb2b5195/kanefendt},
interhash = {31b910fa116577b217d7b2642854fc40},
intrahash = {e3c124a2cf35695901a1eb6deb2b5195},
journal = {Clin.Chem.},
keywords = {Diagnostic Humans Hyperthyroidism Hypothyroidism Immunoassay Iodine Kits Mathematics Radioisotopes Reagent Software Statistics Thyrotropin Topic as blood methods},
number = 7,
pages = {1207-1210},
timestamp = {2010-02-05T11:28:44.000+0100},
title = {Data-reduction methods for immunoradiometric assays of thyrotropin compared},
url = {PM:3594849},
volume = 33,
year = 1987
}