Designing experiments for binary data using search algorithms

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Description/Abstract

In some experiments in the physical and biological sciences, a binary response is of primary
interest and is often described by a generalized linear model. Examples include experiments in
food technology and studies in chemistry where the outcome is whether or not a salt is formed
in a chemical reaction. For such experiments, designs that are e±cient under the assumption
of a linear model may be inadequate for the description and prediction of the response. The
generation of designs using a search algorithm is addressed for completely randomized designs
when a generalized linear model describes the response. A method of assessing the designs is
discussed and illustrated by examples.