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A web-based tool for designing experimental studies to detect hormesis and estimate the threshold dose

Casero-Alonso, Víctor, Pepelyshev, Andrey and Wong, Weng K. 2018. A web-based tool for designing experimental studies to detect hormesis and estimate the threshold dose. Statistical Papers 59 (4) , pp. 1307-1324. 10.1007/s00362-018-1038-5

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Abstract

Hormesis has been widely observed and debated in a variety of context in biomedicine and toxicological sciences. Detecting its presence can be an important problem with wide ranging implications. However, there is little work on constructing an efficient experiment to detect its existence or estimate the threshold dose. We use optimal design theory to develop a variety of locally optimal designs to detect hormesis, estimate the threshold dose and the zero-equivalent point (ZEP) for commonly used models in toxicology and risk assessment. To facilitate use of more efficient designs to detect hormesis, estimate threshold dose and estimate the ZEP in practice, we implement computer algorithms and create a user-friendly web site to help the biomedical researcher generate different types of optimal designs. The online tool facilitates the user to evaluate robustness properties of a selected design to various model assumptions and compare designs before implementation.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Mathematics
Publisher: Springer Verlag (Germany)
ISSN: 0932-5026
Date of First Compliant Deposit: 19 October 2018
Date of Acceptance: 3 September 2018
Last Modified: 05 Sep 2019 02:38
URI: http://orca.cf.ac.uk/id/eprint/116017

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