ArticleRisk analysis : an official publication of the Society for Risk Analysis2011
Optimal experimental design strategies for detecting hormesis.
Article in Risk analysis : an official publication of the Society for Risk Analysis, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- Applications of statistical experimental designs to improve statistical inference in weed management.PloS one · 2021Article
- A web-based tool for designing experimental studies to detect hormesis and estimate the threshold dose.Statistical papers (Berlin, Germany) · 2018Article
- Inference for the existence of hormetic dose-response relationships in toxicology studies.Biostatistics (Oxford, England) · 2016Article
- Study of the hormetic effect of disinfectants chlorhexidine, povidone iodine and benzalkonium chloride.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2014Article
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Corrections and comments
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Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
Abstract
Hormesis is a widely observed phenomenon in many branches of life sciences, ranging from toxicology studies to agronomy, with obvious public health and risk assessment implications. We address optimal experimental design strategies for determining the presence of hormesis in a controlled environment using the recently proposed Hunt-Bowman model. We propose alternative models that have an implicit hormetic threshold, discuss their advantages over current models, and construct and study properties of optimal designs for (i) estimating model parameters, (ii) estimating the threshold dose, and (iii) testing for the presence of hormesis. We also determine maximin optimal designs that maximize the minimum of the design efficiencies when we have multiple design criteria or there is model uncertainty where we have a few plausible models of interest. We apply these optimal design strategies to a teratology study and show that the proposed designs outperform the implemented design by a wide margin for many situations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.