Padraig Dixon
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Research groups
Padraig Dixon
Senior Researcher in Health Economics
My research interests relate to economic issues associated with the increasing availability of genetic data, including how these data might be used to support causal inference and prognostic modelling in relation to health and socioeconomic outcomes. I recently (2020) completed a three-year MRC Skills Development Fellowship using Mendelian Randomization to study the causal effect of traits, behaviours and health conditions on healthcare costs and on quality of life.
In addition to my role in the Department, I am also a Junior Research Fellow in Social Sciences in the Centre for Personalised Medicine at St Anne’s College.
I hold degrees in Economics from Trinity College Dublin (BA) and Nuffield College, Oxford (MPhil and DPhil), and in Health Economics from the University of York (MSc). I hold a diploma in Financial Management awarded by the ACCA.
Before joining the Department, I held my fellowship at the MRC Integrative Epidemiology Unit at the University of Bristol. I also worked for a number of years as an economic consultant in the private sector, advising regulators, governments and large corporates on the economic issues that arise in the regulation of network industries.
Recent publications
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A multi-faceted intervention to improve management of antibiotics for CHIldren presenting to primary care with acute COugh and respiratory tract infection (CHICO): an efficient cluster randomised controlled trial
Journal article
Dixon P. et al, (2023), BMJ: British Medical Journal
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Using Mendelian Randomization to model the causal effect of cancer on health economic outcomes and to simulate the cost-effectiveness of anti-cancer interventions
Preprint
Dixon P. et al, (2023)
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Ethical, Legal and Social Issues in Diversifying Genomic Data: Literature Review and Synthesis
Preprint
Hardcastle F. et al, (2022)
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Quantifying the causal impact of biological risk factors on healthcare costs
Preprint
Lee J. et al, (2022)
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Developing decision support tools incorporating personalised predictions of likely visual benefit versus harm for cataract surgery: research programme
Journal article
Sparrow JM. et al, (2022), Programme Grants for Applied Research, 10, 1 - 54