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Our research
From biostatistics and the design of experiments to modelling and survey methods, explore our 5 research themes in detail.
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Our people
Learn more about our team of expert statisticians by exploring our staff biography pages. -
Research projects
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Publications
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Work with us
We bring our expertise to a range of public and private sector organisations. Get in touch to discuss working with us. -
News, events and seminars
Explore latest news, events and seminars
Statistical sciences play a crucial role in addressing many global challenges. S3RI has an established reputation for excellent research over a wide range of statistical areas, crossing disciplinary boundaries, collaborating closely with public and private sector organisations, and creating real-world impact.
Professor Erengul Dodd
S3RI Director
S3RI has developed to be one of the most important statistical think tanks in the UK and world-wide. With rise of statistical data science guidance on appropriate statistical methodology, for example on how to collect data and design studies appropriately including a state-of-the-art analysis, will remain and increase in their importance.
It is important to have evidence on the best statistical methods so that high quality official statistics can be produced efficiently.
New method boosts COVID-19 contact-tracing in Thailand: A model for global outbreak control
A team of researchers, led by Dankmar Böhning and supported by Rattana Lerdsuwansri and Patarawan Sangnawakij from Thammasat University, has developed a powerful new method to measure the effectiveness of contact-tracing efforts during the COVID-19 pandemic in Thailand.
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Working out how nations can better take everybody into account
University statistical researchers, led by Professor Paul Smith, have helped nations better estimate their populations. This work to improve censuses has had a big economic and political impact. -
Improving maternal and neonatal health in India
Global health experts at Southampton are working with government to improve survival rates for expectant mothers and newborns. Their findings are influencing policy.
