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小题大做:科学中纳入未检出值的情况

Much ado about next to nothing: incorporating nondetects in science.

作者信息

Helsel Dennis

机构信息

Practical Stats, 9278 Lark Sparrow Drive, Highlands Ranch, CO 80126, USA.

出版信息

Ann Occup Hyg. 2010 Apr;54(3):257-62. doi: 10.1093/annhyg/mep092. Epub 2009 Dec 23.

DOI:10.1093/annhyg/mep092
PMID:20032004
Abstract

A great many papers and one textbook have been published on the topic of how to incorporate 'nondetects', low-level values reported only as below a detection limit, into statistical analyses. This is of interest not only in occupational hygiene but also in environmental sciences and astronomy, among other fields. Here, the literature is reviewed from the earliest known publication on the topic >40 years ago and recommendations contrasted. I have tried to pull some unifying conclusions out of the mix, ending with four suggestions I believe all can agree on. See if you agree with me.

摘要

关于如何将“未检出值”(即仅报告为低于检测限的低水平值)纳入统计分析这一主题,已经发表了大量论文和一本教科书。这不仅在职业卫生领域受到关注,在环境科学和天文学等其他领域也备受关注。在此,回顾了从40多年前最早已知的关于该主题的出版物以来的文献,并对各种建议进行了对比。我试图从这些文献中得出一些统一的结论,最后提出四条我认为大家都能认同的建议。看看你是否同意我的观点。

相似文献

1
Much ado about next to nothing: incorporating nondetects in science.小题大做:科学中纳入未检出值的情况
Ann Occup Hyg. 2010 Apr;54(3):257-62. doi: 10.1093/annhyg/mep092. Epub 2009 Dec 23.
2
Summing nondetects: incorporating low-level contaminants in risk assessment.汇总未检出物:将低水平污染物纳入风险评估中。
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The bivariate statistical analysis of environmental (compositional) data.环境(成分)数据的二元统计分析。
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Imputation of data values that are less than a detection limit.低于检测限的数据值的插补。
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Fabricating data: how substituting values for nondetects can ruin results, and what can be done about it.伪造数据:用替代值替换未检出值如何会破坏结果,以及对此能做些什么。
Chemosphere. 2006 Dec;65(11):2434-9. doi: 10.1016/j.chemosphere.2006.04.051. Epub 2006 Jun 5.
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