The inadvertently revealing statistic: A systemic gap in statistical training?

Q3 Mathematics

Significance Pub Date : 2024-02-01 DOI:10.1093/jrssig/qmae009

Ben Derrick, Elizabeth Green, Felix Ritchie, Jim Q. Smith, Paul White

引用次数: 0

Abstract

While concerns around data privacy are well-known, there's a lack of awareness and training when it comes to the confidentiality risk of published statistics, argue Ben Derrick, Elizabeth Green, Felix Ritchie, Jim Smith, Paul White

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不经意间透露的统计数据：统计培训的系统性缺陷？

本-德里克、伊丽莎白-格林、费利克斯-里奇、吉姆-史密斯、保罗-怀特认为，尽管人们对数据隐私的关注众所周知，但在涉及公布统计数据的保密风险时，却缺乏认识和培训。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Significance Mathematics-Statistics and Probability

CiteScore

1.40

自引率

0.00%

发文量

期刊介绍： Significance is a quarterly magazine for anyone interested in statistics and the analysis and interpretation of data. Its aim is to communicate and demonstrate in an entertaining, thought-provoking and non-technical way the practical use of statistics in all walks of life and to show informatively and authoritatively how statistics benefit society.