Adaptive Designs and Multiple Testing Procedures

2023, Newcastle upon Tyne, UK


This two day course was run in July 2022 - we will be running it again in 2023


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.



Q: Is the course currently open for registration?

A: No, please email if you’d like to express an interest in attending.

Q: Is the course running in person or online?

A: Currently we are only planning to run the course in person

Q: How much will it cost?

A: In 2022 the costs were £600 for industry delegates, £400 for public sector and £300 for students.

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 some Greek letters and integral symbols, you should be okay.