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Statistics: a data science for the 21st century

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Statistics: a data science for the 21st century. / Diggle, Peter John.
In: Journal of the Royal Statistical Society: Series A Statistics in Society, Vol. 178, No. 4, 10.2015, p. 793-813.

Research output: Contribution to Journal/MagazineJournal article

Harvard

Diggle, PJ 2015, 'Statistics: a data science for the 21st century', Journal of the Royal Statistical Society: Series A Statistics in Society, vol. 178, no. 4, pp. 793-813. https://doi.org/10.1111/rssa.12132

APA

Diggle, P. J. (2015). Statistics: a data science for the 21st century. Journal of the Royal Statistical Society: Series A Statistics in Society, 178(4), 793-813. https://doi.org/10.1111/rssa.12132

Vancouver

Diggle PJ. Statistics: a data science for the 21st century. Journal of the Royal Statistical Society: Series A Statistics in Society. 2015 Oct;178(4):793-813. Epub 2015 Sept 26. doi: 10.1111/rssa.12132

Author

Diggle, Peter John. / Statistics : a data science for the 21st century. In: Journal of the Royal Statistical Society: Series A Statistics in Society. 2015 ; Vol. 178, No. 4. pp. 793-813.

Bibtex

@article{eba1ff280387445e8c40b60f416f7d91,
title = "Statistics: a data science for the 21st century",
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 {\textquoteleft}electronic health{\textquoteright} 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.",
author = "Diggle, {Peter John}",
year = "2015",
month = oct,
doi = "10.1111/rssa.12132",
language = "English",
volume = "178",
pages = "793--813",
journal = "Journal of the Royal Statistical Society: Series A Statistics in Society",
issn = "0964-1998",
publisher = "Wiley",
number = "4",

}

RIS

TY - JOUR

T1 - Statistics

T2 - a data science for the 21st century

AU - Diggle, Peter John

PY - 2015/10

Y1 - 2015/10

N2 - 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.

AB - 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.

U2 - 10.1111/rssa.12132

DO - 10.1111/rssa.12132

M3 - Journal article

VL - 178

SP - 793

EP - 813

JO - Journal of the Royal Statistical Society: Series A Statistics in Society

JF - Journal of the Royal Statistical Society: Series A Statistics in Society

SN - 0964-1998

IS - 4

ER -