Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/14960
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.
ISSN: 0167-9473
DOI: 10.1016/j.csda.2016.10.013
Rights: © Elsevier
Type: Article
Affiliation : Ruhr-Universität Bochum 
Cyprus University of Technology 
University of Southampton 
Appears in Collections:Άρθρα/Articles

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