Statistics, Epidemiology, and Economic Data Analysis Support group (SEEDs)

We are building a community of analysts and researchers at Flinders University with the common interest of:

Using novel analytics and graphical techniques in their research
Sharing analytical expertise
Sharing analytic materials
Collaboration to enhance research impact

The Statistics, Epidemiology, and Economic Data Analytics Group (SEEDS) hosts workshops for analytical skill advancement, and support cross-discipline collaboration between researchers and analysts. Our team of biostatisticians, bioinformaticians, epidemiologists and health economists are available for consultancy on projects.

What's on

We host meetups and events to share our analytical knowledge and experiences to expand the skills and research capabilities of researchers across Flinders University.

We are sharing expertise across our streams of analytics including:

Causal analysis
Machine learning and AI
Clinical Trial design and analysis
Longitudinal data analysis
Missing data
Geospatial analysis
Mediation analysis
Cost effectiveness modelling
Genomic and epigenomic data analysis
Microbiome data analysis

Browse the calendar events by stream and sign up below to get updates about upcoming events.

Community of Analysts

Our SEEDS members include researchers with a wide range of expertise in biostatistics, epidemiology, economic and bioinformatic data analyses. We would like to encourage the formation of cross-discipline collaboration between our members and researchers at Flinders and elsewhere.

Our membership list (Flinders FAN protected) highlights analysts and their stated area of expertise, allowing you to see where to best seek help and form a new research collaboration.

Request SEEDs members database

Past presentations and resources

SEEDS holds a regular monthly seminar to expose our analysts to a wide array of researchers with various analytical skills and related research. Past seminar presentations and their related resources including presentation slides, software code, practice data and published articles are available to members.

Request