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Accounting for the uncertainty due to chemicals below the detection limit in mixture analysis.考虑混合物分析中低于检测限的化学物质所带来的不确定性。
Environ Res. 2020 Jul;186:109466. doi: 10.1016/j.envres.2020.109466. Epub 2020 Apr 4.
3
A Quantile-Based g-Computation Approach to Addressing the Effects of Exposure Mixtures.基于分位数的 g 计算方法在解决暴露混合物影响中的应用。
Environ Health Perspect. 2020 Apr;128(4):47004. doi: 10.1289/EHP5838. Epub 2020 Apr 7.
4
Repeated holdout validation for weighted quantile sum regression.加权分位数和回归的重复留出验证
MethodsX. 2019 Nov 22;6:2855-2860. doi: 10.1016/j.mex.2019.11.008. eCollection 2019.
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Early prenatal exposure to suspected endocrine disruptor mixtures is associated with lower IQ at age seven.早期产前暴露于疑似内分泌干扰物混合物与 7 岁时的智商较低有关。
Environ Int. 2020 Jan;134:105185. doi: 10.1016/j.envint.2019.105185. Epub 2019 Oct 24.
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Characterization of Weighted Quantile Sum Regression for Highly Correlated Data in a Risk Analysis Setting.风险分析环境中高度相关数据的加权分位数和回归的特征描述
J Agric Biol Environ Stat. 2015 Mar;20(1):100-120. doi: 10.1007/s13253-014-0180-3. Epub 2014 Dec 24.
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Assessment of weighted quantile sum regression for modeling chemical mixtures and cancer risk.用于化学混合物建模和癌症风险评估的加权分位数和回归分析
Cancer Inform. 2015 May 13;14(Suppl 2):159-71. doi: 10.4137/CIN.S17295. eCollection 2015.
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Analysis of Environmental Chemical Mixtures and Non-Hodgkin Lymphoma Risk in the NCI-SEER NHL Study.国立癌症研究所监测、流行病学和最终结果计划（NCI-SEER）非霍奇金淋巴瘤（NHL）研究中环境化学混合物与非霍奇金淋巴瘤风险分析
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Comment on "A Quantile-Based g-Computation Approach to Addressing the Effects of Exposure Mixtures".

作者信息

Gennings Chris

机构信息

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

出版信息

Environ Health Perspect. 2021 Mar;129(3):38001. doi: 10.1289/EHP8739. Epub 2021 Mar 10.

DOI:10.1289/EHP8739
PMID:33688746
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7945178/
Abstract
摘要