Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/14960
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Konstantinou, Maria | - |
dc.contributor.author | Biedermann, Stefanie | - |
dc.contributor.author | Kimber, Alan | - |
dc.date.accessioned | 2019-08-22T09:53:46Z | - |
dc.date.available | 2019-08-22T09:53:46Z | - |
dc.date.issued | 2017-09-01 | - |
dc.identifier.citation | Computational Statistics and Data Analysis, 2017, vol. 113, pp. 239-250 | en_US |
dc.identifier.issn | 01679473 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/14960 | - |
dc.description.abstract | The exponential-based proportional hazards model is often assumed in time-to-event experiments but may only approximately hold. Deviations in different neighbourhoods of this model are considered that include other widely used parametric proportional hazards models and the data are assumed to be subject to censoring. Minimax designs are then found explicitly, based on criteria corresponding to classical c- and D-optimality. Analytical characterisations of optimal designs are provided which, unlike optimal designs for related problems in the literature, have finite support and thus avoid the issues of implementing a density-based design in practice. Finally, the proposed designs are compared with the balanced design that is traditionally used in practice, and recommendations for practitioners are given. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | Computational Statistics and Data Analysis | en_US |
dc.rights | © Elsevier | en_US |
dc.subject | c-optimality | en_US |
dc.subject | D-optimality | en_US |
dc.subject | Minimax optimal designs | en_US |
dc.subject | Proportional hazards models | en_US |
dc.subject | Type-I censoring | en_US |
dc.title | Model robust designs for survival trials | en_US |
dc.type | Article | en_US |
dc.collaboration | Ruhr-Universität Bochum | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | University of Southampton | en_US |
dc.subject.category | Environmental Biotechnology | en_US |
dc.subject.category | Other Agricultural Sciences | en_US |
dc.journals | Subscription | en_US |
dc.country | Cyprus | en_US |
dc.country | Germany | en_US |
dc.country | United Kingdom | en_US |
dc.subject.field | Agricultural Sciences | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1016/j.csda.2016.10.013 | en_US |
dc.identifier.scopus | 2-s2.0-85006136706 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85006136706 | - |
dc.relation.volume | 113 | en_US |
cut.common.academicyear | 2019-2020 | en_US |
dc.identifier.spage | 239 | en_US |
dc.identifier.epage | 250 | en_US |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
item.openairetype | article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
crisitem.author.dept | Department of Chemical Engineering | - |
crisitem.author.faculty | Faculty of Geotechnical Sciences and Environmental Management | - |
crisitem.author.orcid | 0000-0002-4140-0444 | - |
crisitem.author.parentorg | Faculty of Geotechnical Sciences and Environmental Management | - |
crisitem.journal.journalissn | 0167-9473 | - |
crisitem.journal.publisher | Elsevier | - |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
model robust designs.pdf | 349.86 kB | Adobe PDF | View/Open |
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