Comparison of a logistic and a mass-action curve for radioimmunoassay data.
This paper compares a logistic curve and a mass-action curve in their ability to represent radioimmunoassay standard curves. A data base from 10 different assays is used in this comparison. Six of the 10 assays could be modeled equally well by either the logistic or the mass-action curve. In one case the mass-action curve gave a slightly better fit, though the practical distinction was negligible. In the remaining three assays the mass-action curve performed very much worse than the logistic curve. It is shown that the mass-action curve can assume only a very limited range of shapes, which explains its difficulty with these three assays. In particular, the mass-action curve cannot represent assays where the standard curve slope is less than a specified value. The paper also discusses the extension of each of these curves to more complicated equations, and their application to immunoassay data.
D003201:Computers; D006728:Hormones / Q000032:analysis*; D007700:Kinetics; D007986:Luteinizing Hormone / Q000032:analysis; D008433:Mathematics; D011863:Radioimmunoassay / Q000379:methods*
D006728:Hormones; D007986:Luteinizing Hormone