Bias

Alan J. Silman, Gary J. Macfarlane, Tatiana V Macfarlane
{"title":"Bias","authors":"Alan J. Silman, Gary J. Macfarlane, Tatiana V Macfarlane","doi":"10.1093/med/9780198814726.003.0019","DOIUrl":null,"url":null,"abstract":"There are several reasons (e.g. sources of bias), why a study’s results may deviate from the truth. Recruitment and/or follow-up, which is non-random as to who does not provide data is a major source of bias. Other sources include observer preferences and the subject’s answers being informed, for example, by their current or prior status. It is not easy to undertake the perfect, bias-free, study. The challenge is to design the study to minimize the likelihood of bias and to undertake the necessary subanalyses, where appropriate, to obtain a sense of how important a particular bias might have been in explaining the results obtained.","PeriodicalId":186966,"journal":{"name":"Epidemiological Studies: A Practical Guide","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemiological Studies: A Practical Guide","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/med/9780198814726.003.0019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

There are several reasons (e.g. sources of bias), why a study’s results may deviate from the truth. Recruitment and/or follow-up, which is non-random as to who does not provide data is a major source of bias. Other sources include observer preferences and the subject’s answers being informed, for example, by their current or prior status. It is not easy to undertake the perfect, bias-free, study. The challenge is to design the study to minimize the likelihood of bias and to undertake the necessary subanalyses, where appropriate, to obtain a sense of how important a particular bias might have been in explaining the results obtained.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
偏见
有几个原因(例如,偏见的来源),为什么一个研究的结果可能偏离事实。招募和/或随访是非随机的,谁不提供数据是偏见的主要来源。其他来源包括观察者的偏好和被试的答案,例如,被试的当前或以前的状态。要进行完美的、无偏见的学习是不容易的。挑战在于设计研究以尽量减少偏倚的可能性,并在适当的情况下进行必要的子分析,以了解特定偏倚在解释所获得的结果时可能起到的重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Preparation of collected primary data for statistical analysis Obtaining valid information Comparing rates between and within populations Collecting information Which type of epidemiological study?
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1