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Optimal Design for ELISA and Other Forms of Immunoassay
David M. Rocke and Geoffrey Jones
Vol. 39, No. 2 (May, 1997), pp. 162-170
Published by: Taylor & Francis, Ltd. on behalf of American Statistical Association and American Society for Quality
Stable URL: http://www.jstor.org/stable/1270904
Page Count: 9
You can always find the topics here!Topics: Calibration, Enzyme linked immunosorbent assay, Statistical variance, Immunoassay, Hammocks, Statistical estimation, Approximation, Agriculture, License plates, Logistics
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In enzyme-linked immunosorbent assay (ELISA), as well as in many other kinds of immunoassay, a log-logistic or similar-shaped calibration curve is fit using standards at a series of known levels and then used to transform the measured values for the unknowns into estimated concentrations. The choice of the number of standards, the concentration of the standards, and the number of replicates of the standards and of the unknowns all affect the precision of the measurement. This article develops an optimal design paradigm for this type of problem and shows how optimal choices can be calculated so that the system achieves the maximum precision of which it is capable. Although exact calculation of optimal designs requires use of a computer program, close approximations to the optimum can be derived from simple rules for hand calculation.
Technometrics © 1997 American Statistical Association