Combining Bayesian experimental designs and frequentist data analyses: motivations and examples

Recent developments in experimental designs for clinical trials are stimulated by advances in personalized medicine. Clinical trials today seek to answer several research questions for multiple patient subgroups. Bayesian designs, which enable the use of sound utilities and prior information, can be tailored to these settings. On the other hand, frequentist concepts of data analysis remain pivotal. For example, type I/II error rates are the...