6 Feb 2023 10:00am to 7 Feb 2023 04:00pm

Summer School 2023: Design and analysis of longitudinal cluster randomised trials

Event Location
Ground Floor Conference Rooms 2 & 3
Monash University School of Public Health and Preventive Medicine, 553 St Kilda Road
Melbourne VIC 3004
Jessica Kasza
Jess is a Professor in Biostatistics at Monash University School of Public Health and Preventive Medicine. She joined ViCBiostat and Monash in 2013 as a postdoctoral researcher after completing her...
Andrew is the current Head of the Biostatistics Unit in the Department of Epidemiology and Preventive Medicine at Monash University. Since completing a PhD in Statistics at Cornell University (USA)...
Kelsey completed her PhD " Statistical Methods For The Design And Analysis Of Longitudinal Cluster Randomized Trials " at Monash University in 2021.
Rhys received his PhD from the University of Adelaide in 2015. He is currently a Research Fellow in the Biostatistics unit of the School of Public Health and Preventive Medicine...
Ehsan Rezaei-Darzi
Ehsan is a PhD student in Biostatistics in the School of Public Health and Preventive Medicine at Monash University. In his PhD, he is investigating various aspects of longitudinal cluster...

Cluster randomised trials are often conducted when randomising individuals to treatments isn’t possible. This can occur when the treatment is delivered at the cluster level, but we still measure outcomes on individuals. For example, if we want to assess the impact of a new hospital-wide cleaning program on the number of patients treated at that hospital who acquire infections, we can’t randomise the individual patients to cleaning programs, and instead must randomise the entire hospital. Longitudinal cluster randomised trials extend cluster randomised trials over time, and clusters may switch between the control and intervention conditions. The stepped wedge design and cluster randomised crossover design are key examples of these trials.

In this workshop, you will learn how to design and analyse longitudinal cluster randomised trials, including the stepped wedge and cluster randomised crossover design. You will learn about the latest developments in these trials, including complex within-cluster correlation structures, “incomplete” stepped wedge designs such as the staircase design, and what can go wrong when these trials are not designed and analysed appropriately. Computer practicals will give you hands-on experience in designing and analysing longitudinal cluster randomised trials, using Stata or R.

The target audience is statisticians and researchers with some statistical background. Knowledge of mixed effects models will be assumed.