Bayesian statistics is an approach to data analysis, wherein prior beliefs about a certain quantity of interest can be formally incorporated and updated when new data become available. There is a big role for Bayesian statistics to play in making clinical trials more efficient. This two-day short course is designed to provide an introduction to both basic aspects and advanced features of Bayesian methods with applications to clinical trials. Day 1 will be a primer in Bayesian design and analysis of clinical trials, including fundamentals of Bayesian statistics, prior elicitation, and practical implementation of Bayesian designs in statistical software. Day 2 will focus on Bayesian adaptive methods for clinical trials, historical information borrowing, and basket trial designs. The course will be a mix of lectures and practical session during which the attendees will apply learned methods in problems motivated by real clinical trials.

University of Cambridge Students and Staff, whose department will be covering the participation cost, please raise a Purchase Order (or contact a member of your department who can assist with this) and send a PDF of the Purchase Order to courseadmin@mrc-bsu.cam.ac.uk .  You will then be sent the passcode which you will need to use along with the Purchase Order number to complete registration below, selecting the 'UoC Student/Staff Registration' option.