To propose and evaluate the application of the logistic function as an analytical model for quantal response data in biological assays.
Evaluated the mathematical properties and curve-fitting techniques of the symmetric logistic function compared to integrated normal distribution models.
Formulated computational procedures for parameter estimation and dose-response curve fitting in bio-assay experiments.
Demonstrated that the logistic function provides an effective and computationally tractable framework for bio-assay data analysis.
Showed that logistic curve fitting yields parameter estimates comparable to normal probit analysis while substantially simplifying mathematical calculations.
Abstract
(1944). Application of the Logistic Function to Bio-Assay. Journal of the American Statistical Association: Vol. 39, No. 227, pp. 357-365.