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摘要翻译：
护士露西亚·德·伯克（Lucia de Berk）被荷兰法院判为连环杀手，在她工作的三家医院发生了7起谋杀和3起谋杀未遂。然而，护士总是声称她是无辜的，实际上从来没有人注意到她有这样的谋杀行为。法院根据间接证据和统计数据作出裁决。在上诉法院，使用统计计算被废除，但不排除使用“数据”和“统计洞察力”。这项试验在很大程度上取决于统计和数据收集的作用。在这种情况下，数据的选择和混杂性很强。“名词相关性”的概念可以用来突出这两个特征。这意味着一个无辜者被定罪的无效审判。
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英文标题：
《Data selection and confounding in the court case of Lucia de Berk》
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作者：
Thomas Colignatus
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最新提交年份：
2007
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分类信息：
一级分类：Statistics 统计学
二级分类：Applications 应用程序
分类描述：Biology, Education, Epidemiology, Engineering, Environmental Sciences, Medical, Physical Sciences, Quality Control, Social Sciences
生物学，教育学，流行病学，工程学，环境科学，医学，物理科学，质量控制，社会科学
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英文摘要：
The nurse Lucia de Berk was convicted by the Dutch courts as a serial killer with 7 murders and 3 attempts at murder in three hospitals where she worked. The nurse however always professed her innocence and indeed was never observed in such an act of murder. The courts based their decision on circumstantial evidence and upon the use of statistics. In the appeal court, the use of statistical calculations was repealed but the use of "data" and "statistical insights" were not excluded. The trial hinged importantly on the role of statistics and data gathering. It appears that data selection and confounding feature strongly in this case. The notion of "nominal correlation" can be used to highlight those two features. This suggests a mistrial with the conviction of an innocent person.
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PDF链接：
https://arxiv.org/pdf/708.1401
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