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更多关于低水平辐射风险的直接估计。

More on direct estimates of low-level radiation risks.

作者信息

Rinsky R

出版信息

Yale J Biol Med. 1982 Sep-Dec;55(5-6):405-7.

Abstract

In an epidemiologic study of mortality at the Portsmouth Naval Shipyard (PNS), the National Institute for Occupational Safety and Health (NIOSH) found no evidence of excess deaths due to leukemia or other cancers among workers exposed to low levels of ionizing radiation [1]. In a subsequent analysis, Bross and Driscoll [2] identified excess lung cancer mortality in PNS workers with lifetime radiation dose of 1 rem or greater and with more than 15 years' latency since first radiation exposure. Although that observation may be important and is currently being examined through case-control analyses, it must be recognized that Bross and Driscoll extracted their observation from matrices of over 4,000 data cells apparently by recombination of innumerable possible permutations of dosage and latency intervals. For that reason, their finding can be regarded as no more than a suggestion for further study. It certainly does not represent a proper scientific conclusion. Bross and Driscoll's analysis illustrates the hazard of performing multiple statistical comparisons on complex data sets in the absence of a priori hypotheses.

摘要

在朴茨茅斯海军造船厂(PNS)的一项死亡率流行病学研究中,美国国家职业安全与健康研究所(NIOSH)发现,暴露于低水平电离辐射的工人中,没有证据表明白血病或其他癌症导致的死亡人数过多[1]。在随后的一项分析中,布罗斯和德里斯科尔[2]确定,终生辐射剂量为1雷姆或更高且自首次辐射暴露后潜伏期超过15年的PNS工人中,肺癌死亡率过高。尽管这一观察结果可能很重要,目前正在通过病例对照分析进行研究,但必须认识到,布罗斯和德里斯科尔显然是通过对剂量和潜伏期间隔的无数可能排列进行重组,从4000多个数据单元的矩阵中提取出他们的观察结果的。因此,他们的发现最多只能被视为进一步研究的一个建议。它当然不代表一个恰当的科学结论。布罗斯和德里斯科尔的分析说明了在没有先验假设的情况下,对复杂数据集进行多次统计比较的风险。

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