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Statistics: a data science for the twenty-first century

 
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RSS local group meetings

Wednesday 16 May 2018, 06:15pm

 
Location MS.01 Zeeman building (Maths and Stats), University of Warwick, Coventry, CV4 7AL.

Speaker: Peter Diggle (Lancaster University)

The rise of data science could be seen as a potental threat to the long-term status of the statistics discipline. In this lecture, I will argue that, although there is a threat, there is also a much greater opportunity to re-emphasize the universal relevance of statistical method to the interpretation of data. I will describe several recent research projects through which I hope to demonstrate that statistics makes an essential, but incomplete, contribution to the emerging field of ‘electronic health’ research, and will offer some personal thoughts on how the statistics discipline should seize the data science opportunity.

Peter Diggle is Distinguished University Professor of Statistics in the Faculty of Health and Medicine, Lancaster University. He also holds Adjunct positions at Johns Hopkins, Yale and Columbia Universities, and was president of the Royal Statistical Society (2014-2016).Between 1974 and 1983 Prof Diggle was a Lecturer, then Reader in Statistics at the University of Newcastle upon Tyne. Between 1984 and 1988 he was Senior,then Principal, then Chief Research Scientist and Chief of the Division of Mathematics and Statistics at CSIRO, Australia. Prof Diggle's research involves the development of statistical methods for spatial and longitudinal data analysis and their applications in the biomedical, health and environmental sciences. He was awarded the Royal Statistical Society's Guy Medal in Silver in 1997.

Contact Free attendance. Register at https://warwick.ac.uk/fac/sci/statistics/news/wplms/diggleregn-copy

Refreshments will be served in the Main Atrium, Zeeman Building after the lecture.

Organiser Name David Selby

Email Address This email address is being protected from spambots. You need JavaScript enabled to view it.

Organising Group(s) RSS West Midlands Local Group; University of Warwick Department of Statistics