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为价值观辩护。

In Defense of Values.

作者信息

Begg Colin B

机构信息

Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

出版信息

JNCI Cancer Spectr. 2020 Feb 26;4(2):pkaa012. doi: 10.1093/jncics/pkaa012. eCollection 2020 Apr.

Abstract

Recently, a controversy has erupted regarding the use of statistical significance tests and the associated values. Prominent academic statisticians have recommended that the use of statistical tests be discouraged or not used at all. This has naturally led to a lot of confusion among research investigators about the support in the academic statistical community for statistical methods in general. In fact, the controversy surrounding the use of values has a long history. Critics of values argue that their use encourages bad scientific practice, leading to the publication of far more false-positive and false-negative findings than the methodology would imply. The thesis of this commentary is that the problem is really human nature, the natural proclivity of scientists to believe their own theories and present data in the most favorable light. This is strongly encouraged by a celebrity culture that is fueled by academic institutions, the scientific journals, and the media. The importance of the truth-seeking tradition of the scientific method needs to be reinforced, and this is being helped by current initiatives to improve transparency in science and to encourage reproducible and replicable research. Statistical testing, used correctly, has an important and valuable place in the scientific tradition.

摘要

最近,关于统计显著性检验及相关p值的使用引发了一场争议。著名的学术统计学家建议不鼓励使用统计检验,或者完全不要使用。这自然导致研究人员对学术统计界对一般统计方法的支持感到困惑。事实上,围绕p值使用的争议由来已久。p值的批评者认为,使用p值会助长不良的科学行为,导致发表的假阳性和假阴性结果比该方法所暗示的要多得多。本评论的观点是,问题实际上在于人性,即科学家倾向于相信自己的理论并以最有利的方式呈现数据。学术机构、科学期刊和媒体助长的名人文化强烈鼓励了这种倾向。需要强化科学方法中追求真理传统的重要性,当前提高科学透明度以及鼓励可重复和可复制研究的举措对此有所帮助。正确使用统计检验在科学传统中具有重要且有价值的地位。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56fa/7191891/2018a04b46d9/pkaa012f1.jpg

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