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Locally optimal designs for some binary dose-response models.

Yi ZhaiZhide Fang
Published in: The Canadian journal of statistics = Revue canadienne de statistique (2018)
In this paper, we consider the problem of seeking locally optimal designs for nonlinear dose-response models with binary outcomes. Applying the theory of Tchebycheff Systems and other algebraic tools, we show that the locally D-, A-, and c-optimal designs for three binary dose-response models are minimally supported in finite, closed design intervals. The methods to obtain such designs are presented along with examples. The efficiencies of these designs are also discussed.
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