7th - 8th July 2022, Newcastle upon Tyne, UK
7th – 8th July 2022 - 9am to 5pm
Henry Daysh Building, Newcastle University main campus, Newcastle upon Tyne
Adaptive designs are a novel approach to improving the efficiency and participant benefit of clinical trials. With an adaptive design, information gathered during the trial can be used to change the design in a statistically robust way. There are many types of adaptive designs that are possible for different situations in all phases of trials. In both adaptive and non-adaptive trials, there are often multiple hypotheses being tested. Examples include trials with multiple endpoints, multiple treatment arms and when a trial tests a treatment in different patient subgroups. Adaptive trials often mean that a particular hypothesis is tested several times during the trial. This creates issues with multiple testing, for which suitable procedures are needed to ensure the appropriate error rate is controlled.
In this course we will give an overview of multiple testing issues and adaptive designs in trials. Participants will learn about a variety of new adaptive clinical trial designs, including multi-arm multi-stage (MAMS), umbrella studies and adaptive randomisation. As well as learning about how to design adaptive trials we will cover the implications of the design on the analysis and practical aspects of running the trial.
Throughout the course, real examples will be used to demonstrate the methodology. There will be a strong emphasis on learning how to use available software (in both R and Stata depending on the preference of the delegate) to implement the methodology in practice.
Registration is open here.
Introduction to adaptive design
Introduction to multiple testing in trials
Advanced multiplicity correction
Multi-arm multi-stage designs
Sample size re-estimation
Analysis after adaptive trials
Lectures 1-8 each have an associated practical session.
Q: Is the course running in person or online?
A: Currently we are only planning to run the course in person
Q: How can I pay?
A: If you can pay with credit/debit card then the best route is through the webstore here. If you require an invoice/bank transfer then we can arrange that with a purchase order: please contact firstname.lastname@example.org.
Q: I’m not a statistician, will I benefit from the course?
A: The course is predominantly aimed at applied statisticians, but we’ve had non-statisticians do the course in the past and had feedback that they benefited from a good amount of the content! There’ll be a couple of lectures that may be more difficult but if you don’t mind the occasional Greek letter and integral symbol, you should be okay.