Theresa Munyombwe
- Position: Lecturer in Biostatistics
- Areas of expertise: quantitative research methods; biostatistics; latent variable modelling; multilevel modelling, structural equation modelling; longitudinal data analysis
- Email: T.Munyombwe@leeds.ac.uk
- Location: Worsely building, level 11
Profile
I joined the University of Leeds as a Lecturer in Biostatistics in 2008. I have a PhD in Biostatistics and a masters degree in Biometry. My time is split between teaching and conducting research. I have expertise in Biostatistics, quantitative research, latent variable modelling, structural equation modelling, multilevel modelling and survival analysis.
Responsibilities
- Module leader
- ICU co-lead
Research interests
My research interests are in the application of statistics to applied health with a particular interest in observational data. I have extensive experience of developing and evaluating psychometric properties of Patient Reported Outcome Measures (PROMS), analysing longitudinal data of PROMs, and Health-related quality of life data. Alongside my teaching and research work, I provided statistical support for staff and post graduate students in Dentistry (2008- 2014) and the School of Healthcare (2015-2018). I provided statistical support in study designs, data collection, data management, data analysis, interpretation of results, and demonstration of SPSS, STATA and R software. More recently my research interests have extended to use of electronic health data in research.
Qualifications
- PhD in Biostatistics
- MSc Biometry
- BSc Biological science hons
- PGcert in statistics
Professional memberships
- Burwalls medical statistics teachers association
Student education
Along side my research work I have built a teaching portfolio: teaching on undergraduate and postgraduate modules, leading modules, supervising masters and PhD students.
Research groups and institutes
- Leeds Institute of Cardiovascular and Metabolic Medicine
- Clinical and Population Science