In conjunction with our Prognosis Research Group, we have developed successful courses in prognosis research, evidence synthesis of individual patient data, and statistical methods for developing, validating and updating prognostic models. We also run an introductory course to the statistical software R for users of other statistical packages, as well as Applied Item Response Theory (IRT) in R, and contribute to the popular Introduction to Randomised Controlled Trials course.
Most of our courses are offered to the wider national and international research community, including clinicians, healthcare researchers, statisticians, epidemiologists, and systematic reviewers. They can also be commissioned to be run off-site (please do enquire).
We also provide in-house training in methodology research. This takes a range of forms including internal and external methodology seminar series, one-day invited courses in specialised statistical methods, and supervision of methodological PhD and MPhil projects.
Our short course programme
- Statistical methods for risk prediction and prognostic models (3-day statistical training course)
- Statistical Methods for Evidence Synthesis of Individual Participant Data (3-day statistical training course)
- Running randomised clinical trials (4-day training course)
- Prognosis Research: Concepts, Methods, and Clinical Application (3-day International Summer School)