11th-12th July 2023, Newcastle upon Tyne, UK
Tuesday 11th July - Wednesday 12th July 2023
Newcastle upon Tyne
Private sector: £600 Public sector: £400 Students: £300
To enrol, please go to the Newcastle University Webstore
The ability to utilise external information (such as from disease cohorts, previous trials, and expert opinion) when designing and analysing clinical trials brings many benefits, including maximising the evidence provided by the trial, reducing the sample size required (particularly important for rare disease trials) and improving the generalisability of trial results. This course provides participants with a range of the latest statistical methods that can be used to incorporate external information and thus improve the efficiency and robustness of clinical trials. We also cover potential biases and pitfalls that may arise, and how to address them.
The following topics will be included:
As well as the necessary theory, we will cover computational approaches to implement the methods and practical issues, such as funder and regulator views.
This will be a two-day course consisting of around 8 lectures each with an associated practical session delivered in R.
Q: Is the course running in person or online?
A: Currently we are only planning to run the course in person
Q: I’m not a statistician, will I benefit from the course?
A: The course is predominantly aimed at applied statisticians, but hopefully many parts of the course will be useful to non-statisticians! Some lectures may be more difficult but if you don’t mind some Greek letters and other mathematical symbols, you should be okay.