The role of statistical significance testing in public law and health risk assessment.

Tommaso Filippini, Silvio Roberto Vinceti
{"title":"The role of statistical significance testing in public law and health risk assessment.","authors":"Tommaso Filippini,&nbsp;Silvio Roberto Vinceti","doi":"10.15167/2421-4248/jpmh2022.63.1.2394","DOIUrl":null,"url":null,"abstract":"<p><p>Following a fundamental statement made in 2016 by the American Statistical Associations and broad and consistent changes in data analysis and interpretation methodology in public health and other sciences, statistical significance/null hypothesis testing is being increasingly criticized and abandoned in the reporting and interpretation of the results of biomedical research. This shift in favor of a more comprehensive and non-dichotomous approach in the assessment of causal relationships may have a major impact on human health risk assessment. It is interesting to see, however, that authoritative opinions by the Supreme Court of the United States and European regulatory agencies have somehow anticipated this tide of criticism of statistical significance testing, thus providing additional support to its demise. Current methodological evidence further warrants abandoning this approach in both the biomedical and public law contexts, in favor of a more comprehensive and flexible method of assessing the effects of toxicological exposure on human and environmental health.</p>","PeriodicalId":94106,"journal":{"name":"Journal of preventive medicine and hygiene","volume":"63 1","pages":"E161-E165"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/6e/1d/jpmh-2022-01-e161.PMC9121665.pdf","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of preventive medicine and hygiene","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15167/2421-4248/jpmh2022.63.1.2394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Following a fundamental statement made in 2016 by the American Statistical Associations and broad and consistent changes in data analysis and interpretation methodology in public health and other sciences, statistical significance/null hypothesis testing is being increasingly criticized and abandoned in the reporting and interpretation of the results of biomedical research. This shift in favor of a more comprehensive and non-dichotomous approach in the assessment of causal relationships may have a major impact on human health risk assessment. It is interesting to see, however, that authoritative opinions by the Supreme Court of the United States and European regulatory agencies have somehow anticipated this tide of criticism of statistical significance testing, thus providing additional support to its demise. Current methodological evidence further warrants abandoning this approach in both the biomedical and public law contexts, in favor of a more comprehensive and flexible method of assessing the effects of toxicological exposure on human and environmental health.

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
统计学显著性检验在公法和健康风险评估中的作用。
2016年,美国统计协会发表了一项基本声明,公共卫生和其他科学的数据分析和解释方法发生了广泛而一致的变化,统计显著性/零假设检验在生物医学研究结果的报告和解释中受到了越来越多的批评和抛弃。这种倾向于在因果关系评估中采用更全面、非二分法的方法的转变可能会对人类健康风险评估产生重大影响。然而,有趣的是,美国最高法院和欧洲监管机构的权威意见在某种程度上预见到了对统计显著性测试的批评浪潮,从而为其消亡提供了额外的支持。目前的方法学证据进一步证明,在生物医学和公法背景下都有理由放弃这种方法,转而采用更全面、更灵活的方法来评估毒理学暴露对人类和环境健康的影响。
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
Health equity e sostenibilità nella vaccinazione antinfluenzale degli adulti over 65 in Italia. Interaction of protein intake and number of family members as a risk factor for chronic energy deficiency in women of childbearing age. Longitudinal trends in physical activity levels and lifetime cardiovascular disease risk: insights from the ATTICA cohort study (2002-2022). Machine learning techniques to identify risk factors of breast cancer among women in Mashhad, Iran. Monitoring emergency and urgent surgery: an improvement in a Healthcare Management Unit at a third-level hospital in Italy.
×
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