Online courses take place through the University of Cambridge’s Moodle platform, while in-person courses normally take place in Cambridge at the East Forvie Building on the Cambridge Biomedical Campus. Further information about our courses is given below.
Upcoming Courses
Registration is now open our short courses
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 courses@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.
Recent high-profile clinical trials have used a response-adaptive procedure as the way to implement an “adaptive” experiment. Such response-adaptive designs allow a variety of mid-trial modifications to be made to the trial so that the accumulating data guides investigators to the most appropriate form of evaluation (e.g. they can be used for arm selection, arm dropping, or simply to assign more patients on average to a superior treatment where possible). While offering great flexibility during the trial, they require specialised approaches for both the trial design and analysis.
Consequently, there is growing interest amongst clinical researchers and the clinical trials community in the use of these methods for conducting either early or late phase trials that more efficiently or more accurately balance competing goals, while gathering sufficient evidence to reach a convincing conclusion.
Registration: Response-Adaptive Methods for Clinical Trials - In Person Course, 23-24 October 2024
This short course introduces students to Bayesian statistical methods in biomedical settings, and provides skills for designing, assessing and interpreting Bayesian analyses using the R and JAGS statistical software. The emphasis throughout will be on practical, applied modelling: code to carry out analyses will be provided.
Course outline
The course runs on the Moodle online learning platform, and involves 7 sessions:
1. Quantifying uncertainty with probability
2. Bayesian inference
3. Bayesian regression models
4. Critiquing and comparing Bayesian models
5. Hierarchical models
6. Modelling with missing and censored data
7. Integrating multiple sources of data
Course delivery
The course will be delivered via the Moodle online learning platform. The course consists of 7 half-days worth of content, and will take place over 7 half-days across 3 weeks starting on Friday 15th November 2024.
It will consist of some on-demand content and some timetabled (live) sessions.
Registration: Bayesian Statistics - Online Course - November 2024