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本文引用的文献

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CAUSAL INFERENCE IN THE CONTEXT OF AN ERROR PRONE EXPOSURE: AIR POLLUTION AND MORTALITY.易出错暴露背景下的因果推断:空气污染与死亡率
Ann Appl Stat. 2019 Mar;13(1):520-547. doi: 10.1214/18-AOAS1206. Epub 2019 Apr 10.
2
Cardiovascular disease burden from ambient air pollution in Europe reassessed using novel hazard ratio functions.使用新型危害比函数重新评估欧洲环境空气污染导致的心血管疾病负担。
Eur Heart J. 2019 May 21;40(20):1590-1596. doi: 10.1093/eurheartj/ehz135.
3
Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter.全球因长期暴露于室外细颗粒物而导致的死亡率估计。
Proc Natl Acad Sci U S A. 2018 Sep 18;115(38):9592-9597. doi: 10.1073/pnas.1803222115. Epub 2018 Sep 4.
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Best Practices for Gauging Evidence of Causality in Air Pollution Epidemiology.衡量空气污染流行病学中因果关系证据的最佳实践。
Am J Epidemiol. 2017 Dec 15;186(12):1303-1309. doi: 10.1093/aje/kwx307.
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Nonparametric methods for doubly robust estimation of continuous treatment effects.连续治疗效应双重稳健估计的非参数方法。
J R Stat Soc Series B Stat Methodol. 2017 Sep;79(4):1229-1245. doi: 10.1111/rssb.12212. Epub 2016 Sep 30.
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Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015.归因于环境空气污染的全球疾病负担估计数和 25 年趋势:2015 年全球疾病负担研究数据分析。
Lancet. 2017 May 13;389(10082):1907-1918. doi: 10.1016/S0140-6736(17)30505-6. Epub 2017 Apr 10.
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Generalizing Study Results: A Potential Outcomes Perspective.推广研究结果:潜在结果视角
Epidemiology. 2017 Jul;28(4):553-561. doi: 10.1097/EDE.0000000000000664.
8
Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the Continental United States.在美国大陆以高时空分辨率评估细颗粒物(PM2.5)暴露情况。
Environ Sci Technol. 2016 May 3;50(9):4712-21. doi: 10.1021/acs.est.5b06121. Epub 2016 Apr 22.
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Bayesian effect estimation accounting for adjustment uncertainty.考虑调整不确定性的贝叶斯效应估计。
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Analysis of coupled model uncertainties in source-to-dose modeling of human exposures to ambient air pollution: A PM(2.5) case study.人类暴露于环境空气污染的源到剂量建模中耦合模型不确定性分析:以PM(2.5)为例的研究
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Estimating pollution-attributable mortality at the regional and global scales: challenges in uncertainty estimation and causal inference.

作者信息

Nethery Rachel C, Dominici Francesca

机构信息

Harvard T.H. Chan School of Public Health, Boston, MA, USA.

出版信息

Eur Heart J. 2019 May 21;40(20):1597-1599. doi: 10.1093/eurheartj/ehz200.

DOI:10.1093/eurheartj/ehz200
PMID:31004133
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6528153/
Abstract
摘要