文章基本信息

标题：Identifying falsified clinical data
本地全文：下载
作者：Lee, Joanne ; Judge, George G.
期刊名称：Journal of Food Distribution Research
印刷版ISSN：0047-245X
出版年度：2008
卷号：39
期号：12
出版社：Food Distribution Research Society
摘要：Clinical data serve as a necessary basis for medical decisions. Consequently, the importance of methods that help officials quickly identify human tampering of data cannot be underestimated. In this paper, we suggest Benford’s Law as a basis for objectively identifying the presence of experimenter distortions in the outcome of clinical research data. We test this tool on a clinical data set that contains falsified data and discuss the implications of using this and information-theoretic methods as a basis for identifying data manipulation and fraud.
关键词：data collection;data analysis;research;Benford's Law