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本文引用的文献

1
Practical recommendations for statistical analysis and data presentation in Biochemia Medica journal.《生物化学与医学杂志》中统计分析和数据呈现的实用建议。
Biochem Med (Zagreb). 2012;22(1):15-23. doi: 10.11613/bm.2012.003.
2
Biochemia Medica introduces the revised policy on statement of conflict of Interest.《生物化学与医学》介绍了经修订的利益冲突声明政策。
Biochem Med (Zagreb). 2011;21(2):104-5. doi: 10.11613/bm.2011.017.
3
Statistical errors in medical research - a review of common pitfalls.医学研究中的统计错误——常见陷阱综述
Swiss Med Wkly. 2007 Jan 27;137(3-4):44-9. doi: 10.4414/smw.2007.11587.
4
[Types of studies, power of study and choice of test].[研究类型、研究效能与检验选择]
Acta Med Croatica. 2006;60 Suppl 1:47-62.
5
Ten categories of statistical errors: a guide for research in endocrinology and metabolism.十类统计错误:内分泌与代谢研究指南
Am J Physiol Endocrinol Metab. 2004 Apr;286(4):E495-501. doi: 10.1152/ajpendo.00484.2003.
6
The misuse of statistics: concepts, tools, and a research agenda.统计数据的误用:概念、工具及研究议程。
Account Res. 2002 Apr-Jun;9(2):65-74. doi: 10.1080/08989620212968.

研究中的偏倚。

Bias in research.

机构信息

University Department of Chemistry, University Hospital Center "Sestre Milosrdnice", Zagreb, Croatia.

出版信息

Biochem Med (Zagreb). 2013;23(1):12-5. doi: 10.11613/bm.2013.003.

DOI:10.11613/bm.2013.003
PMID:23457761
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3900086/
Abstract

By writing scientific articles we communicate science among colleagues and peers. By doing this, it is our responsibility to adhere to some basic principles like transparency and accuracy. Authors, journal editors and reviewers need to be concerned about the quality of the work submitted for publication and ensure that only studies which have been designed, conducted and reported in a transparent way, honestly and without any deviation from the truth get to be published. Any such trend or deviation from the truth in data collection, analysis, interpretation and publication is called bias. Bias in research can occur either intentionally or unintentionally. Bias causes false conclusions and is potentially misleading. Therefore, it is immoral and unethical to conduct biased research. Every scientist should thus be aware of all potential sources of bias and undertake all possible actions to reduce or minimize the deviation from the truth. This article describes some basic issues related to bias in research.

摘要

通过撰写科学论文,我们在同事和同行之间交流科学。通过这样做,我们有责任遵守一些基本原则,如透明度和准确性。作者、期刊编辑和审稿人需要关注提交发表的工作质量,并确保只有经过透明、诚实且没有任何偏离事实的设计、进行和报告的研究才能发表。任何在数据收集、分析、解释和发表方面的这种趋势或偏离事实的行为都被称为偏差。研究中的偏差可能是有意的,也可能是无意的。偏差会导致错误的结论,并具有潜在的误导性。因此,进行有偏差的研究是不道德和不道德的。因此,每个科学家都应该意识到所有潜在的偏差来源,并采取一切可能的行动来减少或最小化对事实的偏离。本文描述了与研究偏差相关的一些基本问题。