Research groups
Xintong Li
DPhil
Postdoctoral Data Scientist
I am a postdoctoral researcher in Prof. Dani Prieto-Alhambrs's group.
I completed my DPhil in Clinical Epidemiology and Medical Statistics from the University of Oxford in December 2023. My thesis topic was on the safety and effectiveness of COVID-19 vaccines using real-world data. My Dphil was funded by the Clarendon Scholarship and Brasenose College.
Before joining the Pharmaco- and Device epidemiology team, I was a senior data analyst at the University of North Carolina at Chapel Hill in the United States. I obtained my Bachelor's degree in Global Health at Wuhan University in China, and a Master of Health Science degree in Epidemiology at Johns Hopkins University Bloomberg School of Public Health in the United States.
Recent publications
Trends in use of Attention-Deficit Hyperactivity Disorder medications among children and adults in five European countries, 2010 to 2023: a population-based observational study.
Journal article
Li X. et al, (2026), Lancet Reg Health Eur, 61
CohortSymmetry: An R package to perform sequence symmetry analysis using the OMOP common data model
Preprint
Chen X. et al, (2025)
“Double Machine Learning for Causal Inference in High-Dimensional Electronic Health Records”
Preprint
Du M. et al, (2025)
The post-authorisation safety of COVID-19 vaccines: real-world evidence
Thesis / Dissertation
Li X., (2024)
IncidencePrevalence: An R package to calculate population-level incidence rates and prevalence using the OMOP common data model.
Journal article
Raventós B. et al, (2024), Pharmacoepidemiol Drug Saf, 33