Compound optimal designs for percentile estimation in dose-response models with restricted design intervals
Compound optimal designs for percentile estimation in dose-response models with restricted design intervals
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.
Dose-response model, link function, percentile estimation, compound optimal design, A-optimality
143-148
Saint Petersburg State University
Biedermann, Stefanie
fe3027d2-13c3-4d9a-bfef-bcc7c6415039
Dette, Holger
8c7b1c2e-3adc-45df-acfc-9e76509a228e
Zhu, Wei
83068cea-979a-4276-ae7c-c989b252979b
July 2005
Biedermann, Stefanie
fe3027d2-13c3-4d9a-bfef-bcc7c6415039
Dette, Holger
8c7b1c2e-3adc-45df-acfc-9e76509a228e
Zhu, Wei
83068cea-979a-4276-ae7c-c989b252979b
Biedermann, Stefanie, Dette, Holger and Zhu, Wei
(2005)
Compound optimal designs for percentile estimation in dose-response models with restricted design intervals.
Ermakov, S.M., Melas, V.B. and Pepelyshev, A.N.
(eds.)
In Proceedings of the 5th St. Petersburg Workshop on Simulation.
Saint Petersburg State University.
.
Record type:
Conference or Workshop Item
(Paper)
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.
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Published date: July 2005
Venue - Dates:
The Fifth Workshop on Simulation, St. Petersburg, Russia, 2005-07-01
Keywords:
Dose-response model, link function, percentile estimation, compound optimal design, A-optimality
Organisations:
Statistics
Identifiers
Local EPrints ID: 41828
URI: http://eprints.soton.ac.uk/id/eprint/41828
PURE UUID: a0dc3e57-29ee-4862-8dbc-5679a9f6a5ef
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Date deposited: 06 Oct 2006
Last modified: 16 Mar 2024 03:51
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Contributors
Author:
Holger Dette
Author:
Wei Zhu
Editor:
S.M. Ermakov
Editor:
V.B. Melas
Editor:
A.N. Pepelyshev
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