Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/14960
Title: | Model robust designs for survival trials |
Authors: | Konstantinou, Maria Biedermann, Stefanie Kimber, Alan |
Major Field of Science: | Agricultural Sciences |
Field Category: | Environmental Biotechnology;Other Agricultural Sciences |
Keywords: | c-optimality;D-optimality;Minimax optimal designs;Proportional hazards models;Type-I censoring |
Issue Date: | 1-Sep-2017 |
Source: | Computational Statistics and Data Analysis, 2017, vol. 113, pp. 239-250 |
Volume: | 113 |
Start page: | 239 |
End page: | 250 |
Journal: | Computational Statistics and Data Analysis |
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. |
URI: | https://hdl.handle.net/20.500.14279/14960 |
ISSN: | 01679473 |
DOI: | 10.1016/j.csda.2016.10.013 |
Rights: | © Elsevier |
Type: | Article |
Affiliation : | Ruhr-Universität Bochum Cyprus University of Technology University of Southampton |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Description | Size | Format | |
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model robust designs.pdf | 349.86 kB | Adobe PDF | View/Open |
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