Compound optimal designs for percentile estimation in dose-response models with restricted design intervals

Biedermann, Stefanie, Dette, Holger and Zhu, Wei (2007) Compound optimal designs for percentile estimation in dose-response models with restricted design intervals. Journal of Statistical Planning and Inference, 137, (12), 3838-3847. (doi:10.1016/j.jspi.2007.04.003).

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Original Publication URL: http://dx.doi.org/10.1016/j.jspi.2007.04.003

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 hold true for most of the commonly applied link functions with respect to the model under consideration.

Item Type:	Article
ISSNs:	0378-3758 (print)
Related URLs:	http://dx.doi.org/10.1016/j.js...007.04.003
Keywords:	dose-response model, link function, percentile estimation, compound optimal design, a-optimality
Subjects:	Q Science > QA Mathematics R Medicine > RS Pharmacy and materia medica H Social Sciences > HA Statistics
Divisions:	University Structure - Pre August 2011 > School of Mathematics > Statistics
Item ID:	58642
Date Deposited:	19 Aug 2008
Last Modified:	08 Jun 2012 12:24
Contributors:	Biedermann, Stefanie (Author) Dette, Holger (Author) Zhu, Wei (Author)
Date:	2007
Status:	Published
URI:	http://eprints.soton.ac.uk/id/eprint/58642

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Compound optimal designs for percentile estimation in dose-response models with restricted design intervals. (deposited 04 Jul 2007)
- Compound optimal designs for percentile estimation in dose-response models with restricted design intervals. (deposited 19 Aug 2008) [Currently Displayed]

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