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Simultaneous analysis of families of sigmoidal curves: application to bioassay, radioligand assay, and physiological dose-response curves.

American Journal of Physiology-Endocrinology and Metabolism · 1978 · Vol. 235(2) · pp. E97–E97

Abstract

Physiological and pharmacological studies of hormones, drugs, and neurotransmitters often generate families of sigmoidal dose-response curves. Optimally efficient data analysis should involve simultaneous description of all curves, rather than fitting each one individually. We have developed a general computerized method to describe the dose-response curves in terms of basal and maximal responses, ED50, and curve shape or steepness. This facile method permits rigorous statistical analysis, provides a basis for pooling of information from separate experiments, and allows one to test which characteristics are shared by various curves.

Statistical Methods in Clinical TrialsEffects and risks of endocrine disrupting chemicalsOptimal Experimental Design MethodsSigmoid functionPoolingBioassayCurve fittingBiological systemExperimental dataMathematicsStatisticsBiologyComputer science

MeSH terms

Binding, CompetitiveBiological AssayComputersDose-Response Relationship, DrugDose-Response Relationship, ImmunologicNucleic Acid HybridizationRadioimmunoassayStatistics as Topic
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Simultaneous analysis of families of sigmoidal curves: application to bioassay, radioligand assay, and physiological dose-response curves. · Scinovex