Event

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 cutting edge trial designs and analysis issues.  It will cover recently developed novel designs representing variations of the conventional parallel, stepped wedge and cluster crossover designs; a detailed examination of estimands for cluster trials and associated discussion of informative cluster size and its impacts; efficient covariate adjustment to increase precision and marginalisation for targeting specific estimands; and Bayesian approaches to the design and analysis of cluster trials.

Speakers: This workshop will feature Prof Fan Li and Dr Tony Tong from Yale University, and will also include speakers from the Monash Cluster Cluster: Jessica Kasza, Kelsey Grantham, Rhys Bowden and Andrew Forbes.

Prerequisites and intended audience:

The target audience is statisticians and researchers with some statistical background, and in particular existing familiarity with cluster randomised trials designs, within-cluster correlation, mixed and marginal/GEE analysis methods. No hands-on computing will be conducted during this workshop.

Location:

The University of Melbourne.

Remote attendance via Zoom is also available.

Registration:

Registration will open soon. 

Standard $570

Student $410