Postdoctoral Research Associate in Health Economics
01392 72 7079
South Cloisters 1.11
South Cloisters, University of Exeter, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK
Nia is a Postdoctoral Research Associate in Health Economics. Her research considers the impact of loneliness on health and social care, with a particular focus on young adults. She also has interests in patient preferences and valuation of health and quality of life outcomes. Nia joined the Health Economics Group as a Graduate Trainee Assistant in 2018 assisting in a number of ongoing projects across the department. Prior to joining the team Nia completed degrees in economics alongside undertaking internships with both central and local government departments.
- BA Economics and History, University of York (2016)
- Graduate Diploma in Economics, University of Bristol (2017)
- MSc Economics, University of Exeter (2018)
2018-19 - Graduate Trainee Assistant in Health Economics
2019-20 - NIHR Pre-Doctoral Fellowship
2020-2022 - NIHR Health Technology Assessment
2022-Present - Postdoctoral Research Associate in Health Economics
Nia's research considers the impact of loneliness on health and social care, with a particular focus on young adults. She also has interests in patient preferences and valuation of health and quality of life outcomes.
2018-2019 - Graduate Trainee Assistant. Two feasibility trial-based economic evaluations and a psychometric assessment of generic preference based masures.
2019-2020 - NIHR Pre-Doctoral Fellowship. Investigating loneliness, health and unemployment: systematic reviews and observational data analysis through propensity score matching.
2020-2022 - NIHR HTA project. 'Evaluating the effectiveness and cost-effectiveness of gynaecological surveillance for women with Lynch syndrome: systematic reviews and economic evaluation'.
- 2019 National Institute for Health Research
NIHR Pre-Doctoral Fellowship. Research investigated the interactions between loneliness, health and the economy. Training included causal inference, qualitative research methods, questionnaire design.