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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; Wong, Weng K.

In: Statistical Papers, Vol. 59, No. 4, 01.12.2018, p. 1307-1324.

Research output: Contribution to journal › Article › peer-review

Harvard

Casero-Alonso, V, Pepelyshev, A & Wong, WK 2018, 'A web-based tool for designing experimental studies to detect hormesis and estimate the threshold dose', Statistical Papers, vol. 59, no. 4, pp. 1307-1324. https://doi.org/10.1007/s00362-018-1038-5

APA

Casero-Alonso, V., Pepelyshev, A., & Wong, W. K. (2018). A web-based tool for designing experimental studies to detect hormesis and estimate the threshold dose. Statistical Papers, 59(4), 1307-1324. https://doi.org/10.1007/s00362-018-1038-5

Vancouver

Casero-Alonso V, Pepelyshev A, Wong WK. A web-based tool for designing experimental studies to detect hormesis and estimate the threshold dose. Statistical Papers. 2018 Dec 1;59(4):1307-1324. https://doi.org/10.1007/s00362-018-1038-5

Author

Casero-Alonso, Víctor ; Pepelyshev, Andrey ; Wong, Weng K. / A web-based tool for designing experimental studies to detect hormesis and estimate the threshold dose. In: Statistical Papers. 2018 ; Vol. 59, No. 4. pp. 1307-1324.

BibTeX

@article{a43627e4dd5b48f29e63a01bf3287f34,
title = "A web-based tool for designing experimental studies to detect hormesis and estimate the threshold dose",
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.",
keywords = "Approximate design, D-efficiency, Risk assessment, Toxicology, ZEP dose",
author = "V{\'i}ctor Casero-Alonso and Andrey Pepelyshev and Wong, {Weng K.}",
year = "2018",
month = dec,
day = "1",
doi = "10.1007/s00362-018-1038-5",
language = "English",
volume = "59",
pages = "1307--1324",
journal = "Statistical Papers",
issn = "0932-5026",
publisher = "Springer Nature",
number = "4",

}

RIS

TY - JOUR

T1 - A web-based tool for designing experimental studies to detect hormesis and estimate the threshold dose

AU - Casero-Alonso, Víctor

AU - Pepelyshev, Andrey

AU - Wong, Weng K.

PY - 2018/12/1

Y1 - 2018/12/1

N2 - 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.

AB - 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.

KW - Approximate design

KW - D-efficiency

KW - Risk assessment

KW - Toxicology

KW - ZEP dose

UR - http://www.scopus.com/inward/record.url?scp=85053387519&partnerID=8YFLogxK

U2 - 10.1007/s00362-018-1038-5

DO - 10.1007/s00362-018-1038-5

M3 - Article

AN - SCOPUS:85053387519

VL - 59

SP - 1307

EP - 1324

JO - Statistical Papers

JF - Statistical Papers

SN - 0932-5026

IS - 4

ER -

ID: 50725390