Authors: Konstantinou, Maria
Biedermann, Stefanie
Kimber, Alan
Title: Model robust designs for survival trials
Language (ISO): en
Abstract: The exponential-based proportional hazards model is often assumed in time- to-event experiments but may only approximately hold. We consider deviations in different neighbourhoods of this model that include other widely used paramet- ric proportional hazards models and we further assume that the data are subject to censoring. Minimax designs are then found explicitly based on criteria corre- sponding to classical c- and D-optimality. We provide analytical characterisations of optimal designs which, unlike optimal designs for related problems in the litera- ture, have finite support and thus avoid the issues of implementing a density-based design in practice. Finally, our designs are compared with the balanced design that is traditionally used in practice, and recommendations for practitioners are given.
Subject Headings: proportional hazards models
Type-I censoring
c-optimality
D-optimality
minimax optimal designs
URI: http://hdl.handle.net/2003/35156
http://dx.doi.org/10.17877/DE290R-17203
Issue Date: 2016
Appears in Collections:Sonderforschungsbereich (SFB) 823

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