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Fitting response curves for radioimmunoassays or immunoradiometric assays
1Med. Statistik, Biomathematik und Informationsverarbeitung, Fakultät für Klinische Medizin Mannheim der Universität Heidelberg, Germany.
European Journal of Clinical Chemistry and Clinical Biochemistry : Journal of the Forum of European Clinical Chemistry Societies
|November 1, 1994
Abstract:
The paper describes non-linear regression methods for the evaluation of radioimmunoassay or immunoradiometric assay data. The underlying model is an overdispersed Poisson process with four regression line parameters and one parameter related to the overdispersion of the variance. A generalized least-squares algorithm is described for the parameter estimation of non-contaminated data. In the presence of outliers in Y-direction, the results are improved by a winsorized version of the generalized least-squares method.