Design of Experiment for Bioassay

Abstract

Abstract The one-parameter logistic distribution is used to illustrate certain numerical approximations for finding one- and two-stage bioassay designs which produce small posterior variances. The article discusses the use of two prior distributions, one for design and another for inference. Graphs are given for designing experiments when the prior distributions are normal. These graphs illustrate the importance of using additional dose levels when the variance of the prior distribution is large.