Event

NOTE: This was originally advertised as a two-day workshop. Due to unavailability of the international speakers, it is now being offered as a one-day workshop, focussing on tools and methods for biostatisticians to use to plan and analyse cluster randomised trials, including variants such as stepped wedge designs and staircase designs.

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.

In this workshop you will learn 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 (including how you can use simulation to investigate properties of designs). You’ll also learn about issues that can impact the interpretation of results from cluster randomised trials (e.g. informative cluster size), and about more flexible variants of standard design types (e.g. staircase designs, the batched stepped wedge and repeated inclusion cluster randomised trials) which can make infeasible trials feasible.

You’ll get hands-on experience in analysis and design using Stata or R.

Prerequisites and intended audience:

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.

Date: Friday 13th February

Registration prices: Standard $540, Student $390

Registration is now open via Trybooking.