Kate Best
- Position: Senior Research Fellow in Frailty
- Areas of expertise: Medical Statistics; Epidemiology; Population based data.
- Email: K.E.Best@leeds.ac.uk
- Location: Level 10 Worsley Building
- Website: Googlescholar | ORCID
Profile
I am a senior research fellow in the Leeds Institute of Health Sciences working within the Academic Unit of Ageing and Stroke Research. I joined the University of Leeds in 2020 as a Senior Research Fellow based working primarily in frailty research. Previously I worked for 10 years at Newcastle University, within the Maternal and Child Health Team, specialising in the epidemiology of congenital anomalies.
Research interests
I am a medical statistician with a background in epidemiological research. I am interested in applying statistics to routinely collected healthcare data in order to improve the health and social wellbeing of the population. I have expertise in the extraction, manipulation and analysis of large health datasets derived from a variety of sources, including primary, secondary and social care data extracted from electronic health records. I am interested in predictive modelling, with many of my current projects involving the development and validation of prognostic models. During my previous position at Newcastle University, I worked extensively with population-based register data and developed experience in data-linkage studies.
Qualifications
- PhD Epidemiology, Newcastle University, 2016
- MSc in Medical Statistics, University of Leicester, 2010
- BSc in Maths & Stats, University of York, 2009