Statistics: a data science for the 21st century
Peter J. Diggle
Journal of the Royal Statistical Society Series A, 2015, vol. 178, issue 4, 793-813
Abstract:
type="main" xml:id="rssa12132-abs-0001">
The rise of data science could be seen as a potental threat to the long-term status of the statistics discipline. I first 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, and I give a short historical outline of the increasingly important links between statistics and information technology. The core of the paper is a summary of 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. Finally, I offer personal thoughts on how statistics might best be organized in a research-led university, on what we should teach our students and on some issues broadly related to data science where the Royal Statistical Society can take a lead.
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssa:v:178:y:2015:i:4:p:793-813
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