Dr Neil Wright
Research groups
- Acute and chronic respiratory diseases in diverse populations: patterns, trends, and risk factors
- Burden, causes and consequence of carotid atherosclerosis in Chinese adults
- Health effects of long-term exposure to non-optimal ambient temperatures and variability
- Long-term ambient temperature variability and the associated health risks
Neil Wright
PhD, MSc
Senior Statistician
Neil Wright is a senior statistician working on the China Kadoorie Biobank. Neil leads the planning, coordination, and implementation of statistical analysis for a range of observation and genetic analyses in collaboration with other scientists. He also develops statistical code and resources for other researchers, contributes to teaching in the department, and supervises MSc and DPhil students.
Neil has an MMath in Mathematics, an MSc in Medical Statistics, and PhD in Medical Statistics. His PhD research was on the analysis of cluster randomised trials. Before coming to Oxford in 2016, he worked in the Pragmatic Clinical Trials Unit at Queen Mary University of London.
Recent publications
Diagnostic accuracy, treatment and prognosis of myocardial infarction: an 11-year follow-up of a community-based cohort of 0.5 million Chinese adults
Journal article
CHEN Z. et al, (2026), BMJ Public Health
ssociations of 2923 Olink proteins with demographic, lifestyle, environmental and health characteristics in middle-aged Chinese adults.
Journal article
Iona A. et al, (2025), Eur J Epidemiol, 40, 1205 - 1220
Proteome-Wide Genetic Study in East Asians and Europeans Identified Multiple Therapeutic Targets for Ischemic Stroke.
Journal article
Yao P. et al, (2025), Stroke, 56, 2147 - 2158
Causal Relevance of Lp(a) for Coronary Heart Disease and Stroke Types in East Asian and European Ancestry Populations: A Mendelian Randomization Study.
Journal article
Clarke R. et al, (2025), Circulation, 151, 1699 - 1711
ssociation of greenness with incidence of cardiovascular disease in China: Evidence from the China Kadoorie Biobank prospective cohort study with 0.5 million adults.
Journal article
Meng X. et al, (2025), Eco Environ Health, 4