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Reply to Fellman

机译:回复费尔曼

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Dear Editors: We appreciate feedback and criticism on our paper (Hoffman et al. 2011) from Alan Fellman. His arguments are based on the premise that at doses and dose rates well below limits of epidemiological detection of a statistically significant dose-response, quantification of risks with uncertainty is not defensible. In such cases, he believes that quantified risk estimates can do more harm than good.We disagree for several reasons. First, the inability of epidemiology to detect a statistically significant excess risk at low doses and low dose rates is not, by itself, evidence of an absence of risk. The presence of risk at low doses is inferred by (1) observations of an essentially linear dose response for incidence of radiogenic cancers above limits of epidemiological detection (at doses ranging from about 10 mSv to above 200 mSv, depending on the study and specific conditions that affect the power of the study to detect risk), (2) the difficulty in identify-ing biological mechanisms that conclusively explain the absence of risk at low doses (in the presence of ubiquitous exposures to background radiation), and (3) the inability to conclude that background radiation exposure is itself without risk.
机译:亲爱的编辑:我们感谢反馈和批评在我们的论文从艾伦•霍夫曼(et al . 2011年)费尔曼。在剂量和剂量率远低于限制的流行病学统计的检测显著的剂量效应,量化的风险与不确定性是不可靠的。情况下,他相信量化风险评估可以做弊大于利。以下几个原因。流行病学检测统计显著的超额风险低剂量和低剂量利率并不是本身缺乏的证据的风险。(1)观察推断的线性剂量反应发生率的放射上面癌症流行病学检测的局限性(在剂量范围从大约10毫西弗200人以上毫西弗,这取决于研究和具体环境影响的研究检测风险),(2)identify-ing困难生物机制,最终解释缺乏风险低剂量(存在无处不在的风险背景辐射),和(3)无法得出结论,背景辐射本身是没有风险的。

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