Systematic reviews aim to bring together evidence to answer a specific research question using a statistical method called meta-analysis. The workshop will begin by outlining the key steps in the systematic review process. Next, the principles of meta-analysis will be introduced including explanation of the commonly used fixed-effect and random-effects models. Finally, participants will be introduced to the concept of heterogeneity.
Presented by A/Prof Emily Karahalios and Rukshala Gunaratne
This workshop will cover the design, conduct, and analysis of clinical trials, with a focus on statistical aspects. It aims to introduce key statistical concepts, including defining the research question, determining sample size, randomization, analysis sets, handling missing data, multiple testing, subgroup analyses, interim analyses, and developing a statistical analysis plan.
Presented by Fiona McManus and Dr Yee-Foong Mok
Emily completed her Honours Bachelor of Science from the University of Toronto, Canada, and Master of Public Health and PhD in Epidemiology & Biostatistics from the University of Melbourne. Emily is the coordinator for the Master of Biostatistics and Deputy Head of the Biostatistics Unit. Her expertise is in the statistical methods for systematic reviews (ie. pairwise and network meta-analysis).
Rukshala specialises in Data Science with a focus on Medicine, Dentistry and Health Sciences. She holds a BSc Honours in Statistics from the University of Colombo. Rukshala has professional experience as an Analyst in Specialised Solutions at Acuity Knowledge Partners in Sri Lanka, where she worked on modeling, machine learning, product development, and Python automation of product deliverables.
Fiona worked for several years as a Physiotherapist and then completed a Master of Public Health (Epidemiology and Biostatistics stream) in 2015, followed by a Master of Biostatistics in 2020. She works on collaborative research projects, including randomised controlled trials, with Professor Kim Bennell and her team at the Centre for Health, Exercise and Sports Medicine (CHESM).
Dr Mok has a PhD in Biochemistry and Molecular Biology and a Masters in Biostatistics from the University of Melbourne. He has experience with numerous aspects of clinical trials and epidemiological studies, including study design, statistical planning, data modelling and analysis.
