Workshop Topic: Data-Linkage
Data linkage is a process that is used to combine information about an individual or entity from within or across multiple data sources. The power of linked data is exceedingly being used in health data research to help tackle complex and policy relevant questions. This workshop will help participants in understanding what data linkage is and how routinely collected administrative datasets are used for research purposes, as well as offer practical advice about designing data linkage studies and working with linked data.
EOI’s have now closed.
Location
John and Betty Lynch Seminar Room
Neuroscience Research Australia (NeuRA)
Time (TBC)
Tuesday, 15 October
1:40pm – 3:40pm
Workshop Coordinators
Sanja Lujic, MSc, is a Lecturer in Biostatistics at the Centre for Big Data Research in Health at UNSW. She is biostatistician with specific interest in complex and linked administrative datasets. Her interest in health data linkage begun in 2006, and since then she has been involved in numerous projects involving large-scale linked datasets spanning health, community care, survey and cohort studies. Sanja’s research interests include health services research, population ageing, multimorbidity, data linkage methods and the use of routinely linked administrative datasets in statistical modelling. She is a chief investigator in a current RCT of nasal balloon autoinflation for otitis media with effusion in Aboriginal and Torres Strait Islander children, and a completed Indigenous Health Outcomes Patient Evaluation (IHOPE) NHMRC grant. Sanja has worked on numerous commissioned government projects, as is currently teaching and convening courses in the postgraduate programs of Health Data Science at UNSW. She is completing her PhD in the area of multimorbidity, frailty and their outcomes.
Heidi Welberry, MBiostat, is a PhD candidate with the Centre for Big Data Research in Health at UNSW using linked data to understand trajectories of health care use among older Australians at risk of dementia. She is also an advisor for a large collaborative project between UNSW, two Local Health Districts and a Primary Health Network using linked data to understand the connections between older people’s use of primary and secondary care at a local level. Heidi has over 15 years’ experience working within both Federal and State governments using data to inform and evaluate programs and policy. Her research interests include dementia, health services research, social care, primary health care, population ageing and novel methods for understanding patterns of health care use such as Markov Modelling and Machine Learning.