Optimal experimental design strategies for detecting hormesis

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dc.contributor.authorDette, Holger
dc.contributor.authorPepelyshev, Andrey
dc.contributor.authorWong, Weng Kee
dc.date.accessioned2010-06-15T11:42:12Z
dc.date.available2010-06-15T11:42:12Z
dc.date.issued2010-06-15
dc.description.abstractHormesis 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 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, 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 our optimal design strategies to a teratology study and show our proposed designs outperform the implemented design by a very wide margin for many situations.en
dc.identifier.urihttp://hdl.handle.net/2003/27271
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-15375
dc.language.isoenen
dc.relation.ispartofseriesDiscussion Paper / SFB 823;25/2010
dc.subjectContinuous designen
dc.subjectDose-responseen
dc.subjectHunt-Bowman modelen
dc.subjectLogistic modelen
dc.subjectMaximin designen
dc.subjectQuadratic-logistic modelen
dc.subjectWeibull modelen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleOptimal experimental design strategies for detecting hormesisen
dc.typeTextde
dc.type.publicationtypereportde
dcterms.accessRightsopen access

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