Statistics:a data science for the 21st century

Diggle, Peter John (2015) Statistics:a data science for the 21st century. Journal of the Royal Statistical Society: Series A Statistics in Society, 178 (4). pp. 793-813. ISSN 0964-1998

Full text not available from this repository.

Abstract

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.

Item Type:
Journal Article
Journal or Publication Title:
Journal of the Royal Statistical Society: Series A Statistics in Society
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1800/1804
Subjects:
?? ECONOMICS AND ECONOMETRICSSOCIAL SCIENCES (MISCELLANEOUS)STATISTICS AND PROBABILITYSTATISTICS, PROBABILITY AND UNCERTAINTY ??
ID Code:
82299
Deposited By:
Deposited On:
20 Oct 2016 10:04
Refereed?:
No
Published?:
Published
Last Modified:
16 Sep 2023 01:24