• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

医学研究中的统计学问题。

Statistical problems in medical research.

作者信息

Okeh U M

机构信息

Department of Industrial Mathematics and Applied Statistics, Ebonyi State University, Nigeria.

出版信息

East Afr J Public Health. 2009 Apr;6 Suppl(1):1-7. doi: 10.4314/eajph.v6i3.45762.

DOI:10.4314/eajph.v6i3.45762
PMID:20088069
Abstract

Many medical specialties have reviewed the drawbacks of statistical methods in medical diagnosis in specialized areas in their journals. To my knowledge this has not been done in general practice. Given the main role of a general practitioner as a biostatistician, I thought it would be of interest to enumerate statistical problems in assessing methods of medical diagnosis in general terms. In conducting and reporting of medical research, there are some common problems in using statistical methodology which may result in invalid inferences being made. This paper is aimed to highlight to inexperienced statisticians, medical practitioners and personnel as well as other non-statisticians some of the common statistical problems encountered when using statistics to interpret data in medical research. I also comment on good practices to avoid some of these problems.

摘要

许多医学专科领域都在其期刊中审视了医学诊断中统计方法在特定领域的弊端。据我所知,全科医疗领域尚未有过此类审视。鉴于全科医生作为生物统计学家的主要角色,我认为从总体上列举医学诊断评估方法中的统计问题会很有意思。在医学研究的开展和报告过程中,使用统计方法存在一些常见问题,这些问题可能导致得出无效的推断。本文旨在向经验不足的统计人员、医学从业者及相关人员以及其他非统计专业人士强调在医学研究中运用统计方法解读数据时遇到的一些常见统计问题。我还会对避免其中一些问题的良好做法加以评论。

相似文献

1
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.
2
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.
3
Why do you need a biostatistician?为什么需要生物统计学家?
BMC Med Res Methodol. 2020 Feb 5;20(1):23. doi: 10.1186/s12874-020-0916-4.
4
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.
5
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.
6
Conducting and Reporting Descriptive Statistics.进行和报告描述性统计。
Headache. 2019 Mar;59(3):300-305. doi: 10.1111/head.13489.
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
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.
9
Statistics in medical research.医学研究中的统计学
Swiss Med Wkly. 2003 Oct 11;133(39-40):522-9. doi: 10.4414/smw.2003.10470.
10
Research design and statistical methods in Indian medical journals: a retrospective survey.印度医学期刊中的研究设计与统计方法:一项回顾性调查
PLoS One. 2015 Apr 9;10(4):e0121268. doi: 10.1371/journal.pone.0121268. eCollection 2015.

引用本文的文献

1
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.
2
Important statistical points to improve and promote the methodology of the articles on medical sciences, particularly nephrology and kidney; a review article.关于改进和推广医学科学文章,特别是肾脏病学和肾脏相关文章方法学的重要统计学要点;一篇综述文章
J Renal Inj Prev. 2015 Mar 1;4(1):4-8. doi: 10.12861/jrip.2015.02. eCollection 2015.
3
A review of the study designs and statistical methods used in the determination of predictors of all-cause mortality in HIV-infected cohorts: 2002-2011.
2002年至2011年期间用于确定HIV感染队列全因死亡率预测因素的研究设计和统计方法综述。
PLoS One. 2014 Feb 3;9(2):e87356. doi: 10.1371/journal.pone.0087356. eCollection 2014.