Andri Iona
MSc, DPhil
Medical Statistician
Andri Iona is a medical statistician working on the China Kadoorie Biobank. Her research interests focus on the observational and genetic associations of adiposity with cardiovascular diseases. She implements statistical analyses for publications and contributes to the development of statistical resources.
Andri also contributes to the MSc in Global Health Science and Epidemiology programme at the University of Oxford as a lecturer and statistics tutor.
She obtained a Bachelor’s degree in Statistics and Actuarial – Financial Mathematics from the University of Aegean (in Greece), an MSc in Medical Statistics from University of Leicester and a DPhil in Population Health from the University of Oxford. Her DPhil investigated the association of adiposity and major plasma biomarkers with the risk of cardiovascular diseases and mortality in Chinese adults.
Prior to commencing her DPhil, Andri worked as a medical statistician in the China Kadoorie Biobank looking at the relationships between smoking and cause-specific mortality, diabetes and cause-specific mortality, adiposity and diabetes incidence, and adiposity and stroke.
Recent publications
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Adiposity, major plasma biomarkers and the risk of cardiovascular diseases and mortality in Chinese adults
Thesis / Dissertation
Iona A., (2021)
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Young adulthood and adulthood adiposity in relation to incidence of pancreatic cancer: a prospective study of 0.5 million Chinese adults and a meta-analysis.
Journal article
Pang Y. et al, (2017), J Epidemiol Community Health, 71, 1059 - 1067
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Diabetes, plasma glucose and incidence of pancreatic cancer: A prospective study of 0.5 million Chinese adults and a meta-analysis of 22 cohort studies.
Journal article
Pang Y. et al, (2017), Int J Cancer, 140, 1781 - 1788
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Association Between Diabetes and Cause-Specific Mortality in Rural and Urban Areas of China.
Journal article
Bragg F. et al, (2017), JAMA, 317, 280 - 289
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Evaluation of type 2 diabetes genetic risk variants in Chinese adults: findings from 93,000 individuals from the China Kadoorie Biobank.
Journal article
Gan W. et al, (2016), Diabetologia, 59, 1446 - 1457