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.
Frequency and types of clusters of major chronic diseases in 0.5 million adults in urban and rural China
BENNETT D. et al, (2022), Journal of Multimorbidity and Comorbidity
Development, validation and comparison of multivariable risk scores for prediction of total stroke and stroke types in Chinese adults: a prospective study of 0.5 million adults.
Chun M. et al, (2022), Stroke Vasc Neurol
Improved prediction of fracture risk leveraging a genome-wide polygenic risk score
Lu T. et al, (2021), Genome Medicine, 13
Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.
GBD 2019 Stroke Collaborators None., (2021), Lancet Neurol, 20, 795 - 820
Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019.
GBD 2019 Under-5 Mortality Collaborators None., (2021), Lancet, 398, 870 - 905