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Finding optimal designs for estimating hormesis effect sizes

delete2026-02-25
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PRE
AI
W
William Gertsch
W
Weng Kee Wong *
DOI：10.1016/j.comtox.2026.100406delete
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Abstract

Abstract

En 中文
• A We review optimal design of experiments to detect presence of hormesis estimate the threshold and newly formulate criteria for assessing amount or degree of hormesis present. • Use a variety of statistical methods to estimate the area under the curve indicative of the amount or degree of hormesis present. • Methods are valid for experiments with small or large sample sizes, and when there are one or more objectives in the study. • Computer codes written in R software are available for free download to compute the area under the curve after the user inputs nominal values for the parameters in the selected nonlinear model and experiment setup.
Keywords:
hormesis
optimal design
experimental design
area under the curve
threshold estimation

Journal

Computational Toxicology cover
Computational Toxicology
IF:
2.9
Papers:
285
Citations:
794

Organization

No organization information available