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Analyse

The data (which are anonymised from the start) are checked (a process called ‘cleaning’) to make sure there are no gaps or inconsistencies. The data may be merged with data from prior studies or questionnaires as well as genetic data. The data may also be combined with data from other groups in large-scale approved epidemiological studies. The data is then analysed by statisticians and epidemiologists to answer the research question and to try and identify ‘statistically significant’ findings. Any significant findings are repeatedly checked and often researchers will repeat the study in another group of volunteers to check that it is a real finding in order to ‘validate’ the research and confirm that it wasn’t just a statistical ‘blip’.

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Recent News

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  • Advancing the future of research into metabolic health in memory of Dr Michael Mosley
  • Long-term exposure to ‘forever chemicals’ linked to changes in blood cholesterol
  • New Study: It’s Getting Hot in Here - Understanding Heatwaves & Health
  • People from disadvantaged backgrounds have COVID-19 symptoms for longer

Department of Twin Research & Genetic Epidemiology
King’s College London
St Thomas’ Campus
3rd & 4th Floor South Wing Block D
Westminster Bridge Road
London SE1 7EH

Twins/general public: +44 (0) 20 7848 4444
Scientific community: +44 (0) 20 7188 6765

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