Associate Professor Derrick Bennett
BSc MSc PhD CStat
Derrick Bennett is one of the Statistics Module Leads for the MSc in Global Health Science, with responsibility for the planning, development, delivery and management of all aspects of the statistics module content for MSc degree course. Derrick has a BSc (Hons) in Mathematics and Statistics, an MSc in Medical Statistics, and a PhD in Epidemiology/Statistics. He joined the Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU) at the University of Oxford in 2004. He is currently a Senior Statistician within the Heart Studies Group at CTSU. His work has concentrated on the generation of reliable evidence from large-scale observational epidemiology and randomized trials. His main research interest is the assessment of classical and genetic risk factors for risk of cardiovascular disease and stroke. Specifically his work includes collaborative analyses of individual participant data from genetic studies of homocysteine and CHD (MTHFR Studies Collaboration), C-Reactive Protein (CRP CHD Studies Collaboration); meta-analyses of randomized trials of the effects B-vitamins for lowering homocysteine on vascular disease, cancer and cognitive function (B-vitamins Treatment Trialists’ Collaboration); large-scale epidemiology such as the assessment of the association of genetic variants, classical risk factors (such as physical activity, blood pressure, and BMI) with chronic diseases (such as stroke, ischaemic heart disease and diabetes) in the China Kadoorie Biobank study. He has also contributed to the estimation of mortality, morbidity, and years of life lost due to total stroke and stroke sub-types as part of the Global Burden of Diseases, Injuries and Risk Factors (GBD) 2010 study, a large-scale international collaborative project. He currently is involved in the GBD 2013 study that intends to update the evidence using refined methods and data sources to those employed in GBD 2010.
Improved prediction of fracture risk leveraging a genome-wide polygenic risk score
Lu T. et al, (2021), Genome Medicine, 13
Long-term solid fuel use and risks of major eye diseases in China: a population-based cohort study of 486,532 adults
CHAN KA. et al, (2021), PLoS Medicine
Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults
CLARKE R. et al, (2021), Scientific Reports
Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019.
GBD 2019 Tobacco Collaborators None., (2021), Lancet (London, England), 397, 2337 - 2360
Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults.
Chun M. et al, (2021), J Am Med Inform Assoc