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- W1909474815 abstract "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." @default.
- W1909474815 created "2016-06-24" @default.
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- W1909474815 date "1987-07-01" @default.
- W1909474815 modified "2023-09-27" @default.
- W1909474815 title "Data-reduction methods for immunoradiometric assays of thyrotropin compared." @default.
- W1909474815 doi "https://doi.org/10.1093/clinchem/33.7.1207" @default.
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