Optimal designs for dose-response models with restricted design spaces
Optimal designs for dose-response models with restricted design spaces
In dose-response studies, the dose range is often restricted due to concerns over drug toxicity and/or efficacy. We derive optimal designs for estimating the underlying dose-response curve for a restricted or unrestricted dose range with respect to a broad class of optimality criteria. The underlying curve belongs to a diversified set of link functions suitable for the dose
response studies and having a common canonical form. These
include the fundamental binary response models -- the logit and
the probit as well as the skewed versions of these models. Our methodology is based on a new geometric interpretation
of optimal designs with respect to Kiefer's $\Phi_p$-criteria in regression models with two parameters, which is of independent interest. It provides an intuitive illustration of
the number and locations of the support points of $\Phi_p$-optimal designs. Moreover, the geometric results generalize the classical characterization of $D$-optimal designs by the minimum covering ellipsoid [see Silvey (1972) or Sibson (1972)] to the class of Kiefer's $\Phi_p$-criteria. The results are
illustrated through the re-design of a dose ranging trial.
Binary response model, Dose ranging, Dose-response, Dual problem, Link function, Locally compound optimal design, Minimum ellipse
747-759
Biedermann, Stefanie
fe3027d2-13c3-4d9a-bfef-bcc7c6415039
Dette, Holger
8c7b1c2e-3adc-45df-acfc-9e76509a228e
Zhu, Wei
83068cea-979a-4276-ae7c-c989b252979b
1 June 2006
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
(2006)
Optimal designs for dose-response models with restricted design spaces.
Journal of the American Statistical Association, 101 (474), .
(doi:10.1198/016214505000001087).
Abstract
In dose-response studies, the dose range is often restricted due to concerns over drug toxicity and/or efficacy. We derive optimal designs for estimating the underlying dose-response curve for a restricted or unrestricted dose range with respect to a broad class of optimality criteria. The underlying curve belongs to a diversified set of link functions suitable for the dose
response studies and having a common canonical form. These
include the fundamental binary response models -- the logit and
the probit as well as the skewed versions of these models. Our methodology is based on a new geometric interpretation
of optimal designs with respect to Kiefer's $\Phi_p$-criteria in regression models with two parameters, which is of independent interest. It provides an intuitive illustration of
the number and locations of the support points of $\Phi_p$-optimal designs. Moreover, the geometric results generalize the classical characterization of $D$-optimal designs by the minimum covering ellipsoid [see Silvey (1972) or Sibson (1972)] to the class of Kiefer's $\Phi_p$-criteria. The results are
illustrated through the re-design of a dose ranging trial.
Other
finalversion1.ps
- Other
More information
Published date: 1 June 2006
Keywords:
Binary response model, Dose ranging, Dose-response, Dual problem, Link function, Locally compound optimal design, Minimum ellipse
Organisations:
Statistics
Identifiers
Local EPrints ID: 41816
URI: http://eprints.soton.ac.uk/id/eprint/41816
ISSN: 0162-1459
PURE UUID: 6bbb4968-ff38-432c-a621-c1d14f032046
Catalogue record
Date deposited: 05 Oct 2006
Last modified: 16 Mar 2024 03:51
Export record
Altmetrics
Contributors
Author:
Holger Dette
Author:
Wei Zhu
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
