Cluster Randomised Trials: From Fundamentals to State-of-the-Art


Cluster randomised trials are an important class of randomised trials used to assess the effect of interventions when separate randomisation of individuals is not possible or practical. Knowledge of the particular complexities of this class of designs – which ranges from the conventional parallel group cluster randomised trial through to stepped wedge, staircase, and cluster randomised crossover designs - is essential for any practising biostatistician working in clinical trials.
The workshop is divided into two days. Interested persons can register for one or both days.
Day one - Cluster randomised trials: The fundamentals
On day one of this workshop you will learn all about the fundamentals of cluster randomised trial designs: learning when they are appropriate; which designs are best suited to what settings; how to analyse data from these designs; and how to plan these designs. You’ll get hands-on experience in analysis and design using Stata or R.
Day two - Cluster randomised trials: The state of the art
On day two of this workshop you’ll build on your knowledge by learning about the state-of-the-art in the design and analysis of cluster randomised trials. You’ll learn about more flexible variants of standard design types (e.g. the batched stepped wedge and repeated inclusion cluster randomised trials) which can make infeasible trials feasible; about issues that can impact the interpretation of results from cluster randomised trials (e.g. informative cluster size); Bayesian approaches to design and analysis; and cutting edge efficient and robust analysis approaches. These latter two feature the two international speakers from Yale University.
Prerequisites and intended audience:
Day 1: The target audience is statisticians and researchers with some statistical background, including working knowledge of linear mixed models with random effects. For the hands-on computing, attendees must also have a sound working familiarity with Stata or R and have the corresponding software installed on their laptop.
Day 2: The audience will be assumed to be familiar with the design and analysis of cluster randomised trials, for which day 1 attendance will be sufficient.
Dates: Thursday 19th and Friday 20th February
Registration prices: Standard $1020, Student $740 (for both days) OR Standard $540, Student $390 for single-day attendance
Registration is now open via Trybooking





