Two-armed response-adaptive clinical trials are modelled as Markov decision problems to pursue
two overriding objectives: Firstly to identify the superior treatment at the end of the trial
and secondly to keep the number of patients receiving the inferior treatment small. Such
clinical trial designs are very important especially for rare diseases. Thomas Ondra presents
the main solution techniques for Markov decision problems and provides a detailed description
how to obtain optimal allocation sequences.
