Dr Sofia Massa
Contact information
Research groups
- Adiposity, COVID-19 and other infections in UK Biobank
- An analysis of multimorbidities associated with schistosomiasis infections in sub-Saharan Africa
- Causes and consequences of frailty in 0.5M adults living in China
- Prediction of cardiovascular disease in 0.5M adults living in the UK: evaluation of novel risk factors using modern statistical approaches
Colleges
Sofia Massa
PhD
Senior Statistician
- Statistical Editor, Cochrane Review Group
Sofia Massa is a Senior Statistician in the Nuffield Department of Population Health, University of Oxford. She has an MSc in Mathematics (University of Udine, Italy) and a PhD in Statistical Science (University of Padua, Italy). Before joining NDPH she was a postdoc at the University of Padua and a Departmental Lecturer at the Department of Statistics, University of Oxford where she was also the course co-ordinator of the MSc in Applied Statistics.
Her main research interests are on probabilistic graphical models on aspects related to evidence synthesis, gene-set analysis and neuropsychology modelling. She is also working on statistical models for high-dimensional population health studies.
Recent publications
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Alcohol consumption and cause-specific mortality in Cuba: prospective study of 120 623 adults
Journal article
Rojas NA. et al, (2020), EClinicalMedicine
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Validation of Risk Prediction Models to Detect Asymptomatic Carotid Stenosis.
Journal article
Poorthuis MHF. et al, (2020), J Am Heart Assoc
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Application of Risk Prediction Models for Targeted Screening to Detect Asymptomatic Carotid Artery Stenosis
Journal article
Poorthuis M. et al, (2019), European Journal of Vascular and Endovascular Surgery, 58, e638 - e639
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Impact of public release of performance data on the behaviour of healthcare consumers and providers.
Journal article
Metcalfe D. et al, (2018), Cochrane Database Syst Rev, 9
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Cardiovascular risk factors and frailty in a cross-sectional study of older people: implications for prevention.
Journal article
Wong TY. et al, (2018), Age Ageing, 47, 714 - 720