Compound Optimal Designs for Percentile Estimation in Dose-Response Models with Restricted Design Intervals

dc.contributor.author	Biedermann, Stefanie	de
dc.contributor.author	Dette, Holger	de
dc.contributor.author	Zhu, Wei	de
dc.date.accessioned	2005-01-31T08:15:43Z
dc.date.available	2005-01-31T08:15:43Z
dc.date.issued	2005	de
dc.description.abstract	In dose-response studies, the dose range is often restricted due to ethics concerns over drug toxicity and/or efficacy, particularly when human subjects are involved. We present locally optimal designs for the estimation of several percentiles simultaneously on restricted as well as unrestricted design intervals. Our results are applicable to most of the commonly applied link functions with respect to the model under consideration. This work is a generalization of Dai (2000) where he showed that the same results hold for the logit model using Elfving s approach on trace optimal design (Elfving, 1952).	de
dc.format.extent	224256 bytes
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/2003/20094
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15687
dc.language.iso	en	de
dc.subject	A-optimality	de
dc.subject	compound optimal design	de
dc.subject	Dose-response model	de
dc.subject	link function	de
dc.subject	percentile estimation	de
dc.subject.ddc	310	de
dc.title	Compound Optimal Designs for Percentile Estimation in Dose-Response Models with Restricted Design Intervals	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access

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