Sarah C Gadd
- Email: mt15scg@leeds.ac.uk
- Thesis title: Analysis methods for longitudinal data with measurement time variation and interval heterogeneity
- Supervisor: Professor Alison Heppenstall, Professor Mark Gilthorpe, Dr Peter Tennant
Profile
My current research project involves developing statistical methods for longitudinal data analysis, particularly focussing on the use of latent growth curve models on data in which measurements for different individuals do not occur at the same time. This is a common occurence and can restrict the use of more flexible models.
Previously, I have worked in electronic health records research studying the use of statins, and cardiovascular disease in cancer survivors. I first became involved in research when I completed an intercalated masters degree in Newcastle, with a research project developing new materials for dental fissure sealants.
I am funded by the White Rose DTP ESRC Advanced Quantitative Methods studentship.
Research interests
My research interests include:
- Longitudinal data analysis
- Causal inference using observational data
- Epidemiology
- Data analytics
Qualifications
- MSc Epidemiology and Biostatistics, University of Leeds
- MRes Medical Sciences, Newcastle University
Research groups and institutes
- Centre for Spatial Analysis and Policy