Konstantinou, MariaBiedermann, StefanieKimber, Alan2016-07-252016-07-252016http://hdl.handle.net/2003/3515610.17877/DE290R-17203The 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.enDiscussion Paper / SFB823;38, 2016proportional hazards modelsType-I censoringc-optimalityD-optimalityminimax optimal designs310330620working paper