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
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Immune microenvironment modulation following neoadjuvant therapy for oesophageal adenocarcinoma: a translational analysis of the DEBIOC clinical trial.
Scanlon E. et al, (2024), Esmo open, 9
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Longitudinal trajectories of frailty are associated with short-term mortality in older people: A joint latent class models analysis using two UK primary care databases
Elhussein L. et al, (2024), Journal of clinical epidemiology, 111442 - 111442
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PemBla: A Phase 1 study of intravesical pembrolizumab in recurrent non-muscle-invasive bladder cancer.
Woodcock VK. et al, (2023), Bjui compass, 4, 322 - 330
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Characterising complex health needs and the use of preventive therapies in the older population: a population-based cohort analysis of UK primary care and hospital linked data
ELHUSSEIN L. et al, (2023), Bmc geriatrics
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Estimating the Incidence and Key Risk Factors of Cardiovascular Disease in Patients at High Risk of Imminent Fracture Using Routinely Collected Real-World Data From the UK.
Pineda-Moncusí M. et al, (2022), J bone miner res, 37, 1986 - 1996