Optimality assessment in the enzyme-linked immunosorbent assay (ELISA).
An optimality criterion is proposed for evaluating the precision of alternative designs in the enzyme-linked immunosorbent assay. Assay profiles are represented as four-parameter logistic functions with parameter estimation based on either a weighted nonlinear regression or a simple nonlinear regression after a logarithmic transformation. Assay design changes are characterized in terms of their effects on parameters in the four-parameter logistic model. General optimality results are derived for the variance of relative potency estimates in routine assay applications.
Karpinski
K F
KF
Health Protection Branch, Health and Welfare Canada, Ottawa, Ontario.
D001699:Biometry; D004797:Enzyme-Linked Immunosorbent Assay / Q000592:standards / Q000706:statistics & numerical data*; D005069:Evaluation Studies as Topic; D016015:Logistic Models; D012044:Regression Analysis