Leena Elhussein
Postdoctoral Data Scientist
Motivated by the challenges in medical statistics
As a postdoctoral data scientist, I provide statistical and data analysis support for the production of real world evidence. This includes research projects and post-authorisation safety studies (PASS).
In 2024, I finished a DPhil in Clinical Epidemiology and Meical Statistics with the Pharmaco- and Device epidemiology team at NDORMS. My research aimed to apply longitudinal methods for the analysis of real world data. I investigated how frailty and polypharmacy develop and progress in older people, and whether certain progression patterns are associated with a higher risk of mortality.
I joined the Pharmaco- and Device epidemiology (PDE) team as a research assistant in statistics and data science in 2019. Prior to joining the PDE team, I worked as a medical statistician with Oxford Clinical Trials Research Unit (OCTRU) since 2017 where I was mainly responsible for early-phase oncology trials.
Before coming to Oxford, I obtained a BSc in Biotechnology/Biochemical Engineering from International Islamic University Malaysia, followed by an MSc in Statistics with Applications in Medicine from the University of Southampton.
Recent publications
Longitudinal trajectories of polypharmacy in older people, and their association with the risk of mortality: a joint latent class model analysis of real-world data from the UK and the Netherlands.
Journal article
Elhussein L. et al, (2025), Age Ageing, 54
Longitudinal trajectories of health indicators using real world data
Thesis / Dissertation
Elhussein L., (2025)
Immune microenvironment modulation following neoadjuvant therapy for oesophageal adenocarcinoma: a translational analysis of the DEBIOC clinical trial.
Journal article
Scanlon E. et al, (2024), ESMO Open, 9
Time Series Methods to Assess the Impact of Regulatory Action: A Study of UK Primary Care and Hospital Data on the Use of Fluoroquinolones.
Journal article
Guo Y. et al, (2024), Pharmacoepidemiol Drug Saf, 33
Longitudinal trajectories of frailty are associated with short-term mortality in older people: a joint latent class models analysis using 2 UK primary care databases.
Journal article
Elhussein L. et al, (2024), J Clin Epidemiol, 173