Our research publications from 2005 onwards can now be found on a database where you can search using a variety of terms, including author, journal, programme or year of publication.
Access the research publications database.
You can also search our publications through the University of Cambridge Apollo Repository.
- All of Apollo: www.repository.cam.ac.uk
- School of Clinical Medicine on Apollo: www.repository.cam.ac.uk/handle/1810/34581
Scientific resources and tools
The MRC Epidemiology Unit provides a range of freely accessible scientific resources and tools:
DAPA Measurement Toolkit. www.measurement-toolkit.org
Includes methodological guidance and resources for measurement of dietary intake, physical activity and energy expenditure, and anthropometry and body composition
FETA is an open source, cross-platform tool that processes dietary data from the food frequency questionnaire used by the European Prospective Investigation into Cancer and Nutrition Norfolk (EPIC-Norfolk) and automatically generates a spreadsheet containing energy, nutrient and food group intakes.
- Physical Activity Questionnaires (PAQ) and associated guidance documents
- Syntax for processing PAQ data (STATA statistical software required for some of these)
- Accelerometry processing software, including GENEA/GENEActiv
- Combined Sensor processing software & syntax
- Audio prompts for MRC Step Test
- Mental Stress Test
- Activity Classification Protocol
Food environment assessment tool (Feat) – www.feat-tool.org.uk
Feat allows for detailed exploration of the geography of food retail access across England. Underpinned by the latest scientific evidence about how food access in our neighbourhoods affects our dietary choices, body weight and health, it allows you to map, measure and monitor access to food outlets at a neighbourhood level, including changes over time.
Propensity to Cycle Tool (PCT) – www.pct.bike
The Propensity to Cycle Tool (PCT) for England and Wales provides an evidence base to inform cycling investment. The PCT was designed to assist transport planners and policy makers to prioritise investments and interventions to promote cycling. The PCT answers the question: ‘where is cycling currently common and where does cycling have the greatest potential to grow?’. The PCT can be used at different scales.
Omicscience – omicscience.org
omicscience.org is a collaboration between Dr Claudia Langenberg (MRC Epidemiology Unit, University of Cambridge, UK) and Dr Gabi Kastenmüller (Institute of Computational Biology, Helmholtz Zentrum München, Germany) initiated to promote clinical translation through rapid open access to large-scale omic results and resources.