Event

Design & Analysis of Cluster Randomised and Stepped Wedge Trials

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Course type: Short Course
Date: 29 June - 3 July 2026
Location: Face-to-Face/Online

Overview

This course will provide a clear understanding of how to design and analyse cluster randomised trials and stepped wedge trials. Cluster randomised trials and stepped wedge trials are the gold standard method for evaluating health and social interventions at the community level. First developed in the 1990s, they are being used more and more - with increasing impact on policy and people.

To get the best out of cluster randomised and stepped wedge trials, it’s crucial to have a firm grasp of key principles such as when to use these trials, potential issues when designing them, the statistical methods and skills needed to analyse the data, and how to interpret the findings. Combining high-quality lectures based on real-life research with practical computer sessions, this course will give you a strong foundation for effective design and analysis of these highly impactful trials.

 

Who is this course for?

People working in clinical trials or interested in public health research and epidemiology, in particular community testing and impact, will gain key skills and knowledge for trial design and analysis on this course.

You will need a working knowledge of standard statistical methods used in epidemiological analyses (eg linear, Poisson and logistic regression) and of clinical trials. The course is taught primarily in Stata, but detailed explanations of how to implement the methods will be provided in both Stata and R. Course participants should have either a basic knowledge of Stata or a solid knowledge of R.

 

Course Objectives

By the end of this course, attendees will be able to critique and apply a range of appropriate design approaches and analytical methods for cluster randomised and stepped wedge trials.

The course will cover:

  • Key concepts of cluster randomised trials, including measures of between-cluster variation and the rationale for cluster randomisation
  • Design of cluster-randomised trials, including cluster selection and randomisation procedures
  • Calculation of sample size
  • Analysis of cluster randomised trials using both cluster-level summaries and individual-level data (random effects models and generalised estimating equations)
  • Design and analysis of stepped wedge trials
  • Ethical considerations, data monitoring and reporting of CRTs

    How to Apply

    For more information and how to register, please click here!

    Application deadline: 29 May 2026

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