Statistics: a data science for the 21st century
Statistics: a data science for the 21st century
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DOI：
10.1111/rssa.12132
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发表时间：
2015-10-01
影响因子：
2
通讯作者：
Diggle, Peter J.
中科院分区：
文献类型：
--
作者：
Diggle, Peter J.
数据科学的兴起可以被视为对统计学科长期地位的潜在威胁。我首先认为，虽然有一个威胁，也有一个更大的机会，重新强调统计方法的数据解释的普遍相关性，我给一个简短的历史大纲统计和信息技术之间日益重要的联系。本文的核心是最近的几个研究项目的总结，通过它，我希望证明，统计学作出了重要的，但不完整的，贡献的新兴领域的“电子健康”的研究。最后，我就如何在研究型大学中最好地组织统计数据、我们应该教给学生什么以及皇家统计学会可以带头的与数据科学广泛相关的一些问题提出了个人想法。
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.