Locally optimal designs for some dose–response models with continuous endpoints

Yi Zhai and Zhide Fang

Communications in Statistics - Theory and Methods, 2018, vol. 47, issue 16, 3803-3819

Abstract: We consider the problem of constructing static (or non sequential), approximate optimal designs for a class of dose–response models with continuous outcomes. We obtain conditions for a design being D-optimal or c-optimal. The designs are locally optimal in that they depend on the model parameters. The efficiency studies show that these designs have high efficiency when the mis-specification of the initial values of model parameters is not severe. A case study indicates that using an optimal design may result in a significant saving of resources.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:47:y:2018:i:16:p:3803-3819

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DOI: 10.1080/03610926.2017.1361996

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