Alison F. Smith
- Position: Research Fellow
- Areas of expertise: Health Technology Assessment (HTA); analytical decision modelling; discrete event simulation modelling; test evaluation; test measurement uncertainty; evidence-based laboratory medicine
- Email: A.F.C.Smith@leeds.ac.uk
- Phone: +44(0)113 343 0847
- Location: 11.59 Worsley Building
- Website: Twitter | Googlescholar
I joined the Academic Unit of Health Economics (AUHE) as a Research Fellow in 2014. I was awarded an NIHR Doctoral Fellowship in 2016 and began my full-time PhD in January 2017.
My doctoral research is focused on exploring methods for incorporating data on test measurement uncertainty (aka analytical validity or technical performance) within Health Technology Assessments (HTAs) of in-vitro tests (in particular focusing on economic decision models). I have expertise in economic decision modelling, including discrete event simulation modelling, using Excel, R and Simul8 software. My research focuses on the evaluation of medical tests and devices, and I am a founding member of the AUHE Test Evaluation Group (TEG).
Previous projects I have worked on within the AUHE include four NIHR HTA projects (AKI-Diagnostics, Pet-Neck, OPTIMA-prelim, and ARCTIC), as well as an Innovate UK Small Business and Research Initiative (SBRI) grant (EMI-137).
- AUHE Modelling Methodology Group co-Lead
- Member of the AUHE Test Evaluation Group (TEG)
My research interests focus on methods for robust and efficient evaluations of medical tests and devices. In particular I am interested in the impact of test measurement uncertainty on clinical-utility and cost-effectiveness outcomes, and appropriate methods to model long-term cost-effectiveness outcomes.
- MSc Health Economics
- BSc Natural Sciences (Maths and Philosophy)
- UK Health Economics Study Group
- Health Technology Assessment International
- International Health Economics Association
- AUHE Test Evaluation Group (TEG)
Research groups and institutes
- Leeds Institute of Health Sciences
- Academic Unit of Health Economics
- Test Evaluation Group
- Decision Modelling Group
- Health economics
- Diagnostics and pathology