Applied data science
The applied data science team uses data to uncover the patterns, causes, and effects of health and disease conditions, and how these link to health services, using the best techniques to increase the reliability of their findings.
Theme lead: Professor Yoav Ben-Shlomo
Team members
Dr Emily Eyles
Senior Research Associate, Quantitative Research
Dr Jessica Watson
GP and Doctoral Research Fellow
Dr Martha Elwenspoek
Research Fellow in Test Evaluation
Dr Rachel Perry
Senior Research Associate in Evidence Synthesis
Dr Rebecca Wilson
Senior Research Associate in Quantitative Research and Evidence Synthesis
Hannah Edwards
Senior Research Associate, Quantitative Research
Jialan Hong
Research Associate in Data and Quantitative Research
Joni Jackson
Senior Research Associate, Quantitative Research
Jyoti Goyal
Senior Research Associate, Quantitative Applied Health Research
Lauren Scott
Senior Research Associate, Quantitative Research/Evidence Synthesis
Professor Frank de Vocht
Applied Data Sciences Team Co-lead
Professor John Macleod
Professor in Clinical Epidemiology and Primary Care
Professor Kate Tilling
Applied data science workstream lead
Professor Tim Peters
Applied data science workstream lead
Professor Yoav Ben-Shlomo
Cross-cutting Methodological Theme LeadProjects
HepCAPP study: Finding cases of hepatitis C using oral swabs
Research themes:
- Public health and prevention
Research teams:
- Applied data science
Screenshot of paper titled: Pilot postal birth cohort HCV Screening in UK primary care
Read the paperImproving review appointments for people with long-term conditions
Research themes:
- Integrated and optimal care
Research teams:
- Applied data science
- Behavioural and qualitative science
- Health economics
A proposal to embed patient and public involvement within qualitative data collection and analysis phases of a primary care based implementation study
Read the paperEvaluating a post-birth contraception service delivered in hospital
Research themes:
- Public health and prevention
Research teams:
- Applied data science
Preventing cerebral palsy in premature babies: the PReCePT programme
Research themes:
- Integrated and optimal care
Research teams:
- Applied data science
- Behavioural and qualitative science
- Health economics
National PReCePT Programme: a before-and-after evaluation of the implementation of a national quality improvement programme to increase the uptake of magnesium sulfate in preterm deliveries
Read the paperBetter Care: Improving efficiency in hospitals by predicting demand
Research themes:
- Health informatics
- Integrated and optimal care
Research teams:
- Applied data science
Impact of pausing elective hip and knee replacement surgery during winter 2017 on subsequent service provision at a major NHS Trust: a descriptive observational study using interrupted time series
Read the paperDeveloping the South West Secure Data Environment (SDE)
Research themes:
- Health informatics
Research teams:
- Applied data science
- Communications
- Patient and public involvement