医学研究中的统计学陷阱。
Statistical pitfalls in medical research.
作者信息
Nyirongo V B, Mukaka M M, Kalilani-Phiri L V
机构信息
MLW Clinical Research Programme, College of Medicine, Malawi.
出版信息
Malawi Med J. 2008 Mar;20(1):15-8. doi: 10.4314/mmj.v20i1.10949.
Abstract
In conducting and reporting of medical research, there are some common pitfalls in using statistical methodology which may result in invalid inferences being made. This paper is aimed to highlight to inexperienced statisticians or non-statistician some of the common statistical pitfalls encountered when using statistics to interpret data in medical research. We also comment on good practices to avoid these pitfalls.
摘要
在医学研究的开展和报告中，使用统计方法时存在一些常见的陷阱，这可能导致得出无效的推断。本文旨在向缺乏经验的统计人员或非统计人员强调在医学研究中使用统计方法解释数据时遇到的一些常见统计陷阱。我们还会对避免这些陷阱的良好做法进行评论。
相似文献
1
Statistical pitfalls in medical research.医学研究中的统计学陷阱。
Malawi Med J. 2008 Mar;20(1):15-8. doi: 10.4314/mmj.v20i1.10949.
2
Statistical problems in medical research.医学研究中的统计学问题。
East Afr J Public Health. 2009 Apr;6 Suppl(1):1-7. doi: 10.4314/eajph.v6i3.45762.
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
Working With Statisticians in Clinical Research.临床研究中与统计学家合作
Stroke. 2018 Nov;49(11):e311-e313. doi: 10.1161/STROKEAHA.118.022266.
5
Statistics corner: A guide to appropriate use of correlation coefficient in medical research.统计专栏：医学研究中相关系数合理应用指南
Malawi Med J. 2012 Sep;24(3):69-71.
6
Statistical consideration for research.研究的统计学考量
Emerg Med J. 2003 May;20(3):258-62. doi: 10.1136/emj.20.3.258.
7
An overview of commonly used statistical methods in clinical research.临床研究中常用统计方法概述。
Semin Pediatr Surg. 2018 Dec;27(6):367-374. doi: 10.1053/j.sempedsurg.2018.10.008. Epub 2018 Oct 25.
8
The statistician will see you now….统计学家现在要见你……
Diabet Med. 2021 Apr;38(4):e14437. doi: 10.1111/dme.14437. Epub 2020 Nov 3.
9
How To Lie with Statistics and Figures.《怎样用统计数字撒谎》
Surg Infect (Larchmt). 2021 Aug;22(6):611-619. doi: 10.1089/sur.2021.065.
10
Does bad inference drive out good?错误的推理会驱逐正确的吗？
Clin Exp Pharmacol Physiol. 2015 Jul;42(7):727-33. doi: 10.1111/1440-1681.12422.
引用本文的文献
1
Unit of Analysis Guide, Part 2: Not Everything That Can Be Counted Counts.分析单位指南，第2部分：并非所有可计数的事物都有价值。
Aesthet Surg J. 2024 Aug 20;44(9):NP673-NP675. doi: 10.1093/asj/sjae124.
2
Hospital Readmission Risks Screening for Older Adult with Stroke: Tools Development and Validation of a Prediction.老年脑卒中患者再入院风险筛查工具的开发与验证。
Inquiry. 2021 Jan-Dec;58:469580211018285. doi: 10.1177/00469580211018285.
3
StatXFinder: a web-based self-directed tool that provides appropriate statistical test selection for biomedical researchers in their scientific studies.StatXFinder：一个基于网络的自主工具，为生物医学研究人员在其科学研究中提供合适的统计检验选择。
Springerplus. 2015 Oct 22;4:633. doi: 10.1186/s40064-015-1421-9. eCollection 2015.
4
A biomechanical sorting of clinical risk factors affecting osteoporotic hip fracture.影响骨质疏松性髋部骨折的临床危险因素的生物力学分类
Osteoporos Int. 2016 Feb;27(2):423-39. doi: 10.1007/s00198-015-3316-6. Epub 2015 Sep 11.
本文引用的文献
1
Dichotomizing continuous predictors in multiple regression: a bad idea.在多元回归中对连续预测变量进行二分法处理：一个糟糕的主意。
Stat Med. 2006 Jan 15;25(1):127-41. doi: 10.1002/sim.2331.
2
Interaction: A word with two meanings creates confusion.相互作用：一个有两种含义的词会造成混淆。
Eur J Epidemiol. 2005;20(7):563-4. doi: 10.1007/s10654-005-4410-4.
3
Twenty statistical errors even you can find in biomedical research articles.生物医学研究文章中你也能发现的20个统计错误。
Croat Med J. 2004 Aug;45(4):361-70.
4
Subgroup analysis in clinical trials.临床试验中的亚组分析。
Med J Aust. 2004 Mar 15;180(6):289-91. doi: 10.5694/j.1326-5377.2004.tb05928.x.
5
Quantifying biases in causal models: classical confounding vs collider-stratification bias.因果模型中的偏差量化：经典混杂与对撞分层偏差
Epidemiology. 2003 May;14(3):300-6.
6
Statistical methods in clinical trials.临床试验中的统计方法。
Med J Aust. 2003 Feb 17;178(4):182-4.
7
Appropriate analysis and presentation of data is a must for good clinical practice.对数据进行恰当的分析和呈现是良好临床实践的必备条件。
Acta Neurochir Suppl. 2002;83:121-5. doi: 10.1007/978-3-7091-6743-4_20.
8
Fallibility in estimating direct effects.估计直接效应时的易误性。
Int J Epidemiol. 2002 Feb;31(1):163-5. doi: 10.1093/ije/31.1.163.
9
Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology.因果知识作为混杂因素评估的先决条件：在出生缺陷流行病学中的应用
Am J Epidemiol. 2002 Jan 15;155(2):176-84. doi: 10.1093/aje/155.2.176.
10
Subgroup analysis and other (mis)uses of baseline data in clinical trials.临床试验中基线数据的亚组分析及其他（不当）用途。
Lancet. 2000 Mar 25;355(9209):1064-9. doi: 10.1016/S0140-6736(00)02039-0.
Zotero 插件