Bayesian statistics offers an intuitive, flexible, and informative approach to handle issues related to design, analysis and interpretation of clinical trials. In the last decades, the development of innovative methodologies has been encouraged by the increasing interest from regulatory agencies and has been made possible by the availability of more and more powerful computational tools. This special session welcomes contributions covering, for instance, adaptive methods, power analysis and sample size determination, seamless phase II/III designs, information borrowing across subgroups and/or from historical data, Bayesian meta-analysis, and several other topics related to advances in Bayesian methodology for the design and the analysis of clinical trials.