If You Torture Your Data Long Enough, It Will Confess to Anything: On the Epidemiological Basis of the LNT Model.

IF 1 4区 医学 Q4 ENVIRONMENTAL SCIENCES
Yehoshua Socol
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引用次数: 0

Abstract

This note deals with epidemiological data interpretation supporting the linear no-threshold model, as opposed to emerging evidence of adaptive response and hormesis from molecular biology in vitro and animal models. Particularly, the US-Japan Radiation Effects Research Foundation's lifespan study of atomic bomb survivors is scrutinized. We stress the years-long lag of the data processing after data gathering and evolving statistical models and methodologies across publications. The necessity of cautious interpretation of radiation epidemiology results is emphasized.
如果你对数据折磨得够久,它就会承认任何事情:论 LNT 模型的流行病学基础》(If You Torture Your Data Long Enough, It Will Confess to Anything: On Epidemiological Basis of the LNT Model.
本说明涉及支持线性无阈值模型的流行病学数据解释,与来自体外分子生物学和动物模型的适应性反应和激素作用的新证据相对照。特别是对美日辐射影响研究基金会对原子弹爆炸幸存者的寿命研究进行了仔细审查。我们强调了数据收集后多年的数据处理滞后,以及不同出版物中统计模型和方法的演变。我们强调了谨慎解释辐射流行病学结果的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Health physics
Health physics 医学-公共卫生、环境卫生与职业卫生
CiteScore
4.20
自引率
0.00%
发文量
324
审稿时长
3-8 weeks
期刊介绍: Health Physics, first published in 1958, provides the latest research to a wide variety of radiation safety professionals including health physicists, nuclear chemists, medical physicists, and radiation safety officers with interests in nuclear and radiation science. The Journal allows professionals in these and other disciplines in science and engineering to stay on the cutting edge of scientific and technological advances in the field of radiation safety. The Journal publishes original papers, technical notes, articles on advances in practical applications, editorials, and correspondence. Journal articles report on the latest findings in theoretical, practical, and applied disciplines of epidemiology and radiation effects, radiation biology and radiation science, radiation ecology, and related fields.
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