Doktorandseminarium: Implementing optimal designs for dose-response studies through adaptive randomisation
- Plats: Ångströmlaboratoriet 80121
- Föreläsare: Yevgen Ryeznik
- Kontaktperson: Volodymyr Mazorchuk
In dose-response studies with censored time-to-event outcomes, D-optimal designs depend on the true model parameters and the amount of censoring in the model. In practice, such designs can be implemented adaptively, by performing dose assignments according to updated knowledge of the dose-response curve at interim analysis. It is also essential that treatment allocation involves randomization-to mitigate various experimental biases and enable valid statistical inference at the end of the trial. In this work we perform a comparison of several adaptive randomization procedures that can be used for implementing D-optimal designs for dose-response studies with time-to-event outcomes with small to moderate sample sizes.