Christine Hallinan

Postdoctoral Researcher in the Department of General Practice (DGP) at The University of Melbourne. Research interest is in the impact of policy on clinical practice in the primary care setting.

Expertise in the analysis of time series data, and in the transformation and modelling of big data. Statistical skills include the development of forecasting and prediction models using segmented regression analysis and auto-regressive integrated moving average (ARIMA) modelling. Breadth of capability includes the use of quantitative and qualitative methods to analyse complex interventions. Currently involved in two major projects at the DGP:(i) Research Fellow as part of the multi-institutional NHMRC Australian Centre for Cannabinoid Clinical and Research Excellence (ACRE) CRE working on the pharmacovigilance of Medicinal Cannabis; (ii) Data Analysist within the Data Driven Quality Improvement (DDQI) theme working on the modelling and analysis of primary care data for the Future Health Today (FHT) and Antimicrobial Stewardship projects. Overarching aim is to provide evidence around how best to optimise the quality of care through the use of routinely collected data, that has been ethically captured, managed and analysed.