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Regression calibration in air pollution epidemiology with exposure estimated by spatio-temporal modeling.

作者信息

Spiegelman Donna

机构信息

Departments of Epidemiology, Biostatistics and Nutrition, Harvard School of Public Health, Boston, MA.

出版信息

Environmetrics. 2013 Dec;24(8):521-524. doi: 10.1002/env.2249. Epub 2014 Jan 21.

DOI:10.1002/env.2249
PMID:29081677
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5659389/
Abstract
摘要

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2
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Environ Health. 2014 Jan 13;13(1):2. doi: 10.1186/1476-069X-13-2.
3
Regression calibration with heteroscedastic error variance.具有异方差误差方差的回归校准。
Int J Biostat. 2011;7(1):4. doi: 10.2202/1557-4679.1259. Epub 2011 Jan 6.
4
Spatial modeling of PM10 and NO2 in the continental United States, 1985-2000.美国大陆地区 1985-2000 年 PM10 和 NO2 的空间建模。
Environ Health Perspect. 2009 Nov;117(11):1690-6. doi: 10.1289/ehp.0900840. Epub 2009 Jun 29.
5
Predicting chronic fine and coarse particulate exposures using spatiotemporal models for the Northeastern and Midwestern United States.使用时空模型预测美国东北部和中西部地区慢性细颗粒物和粗颗粒物暴露情况。
Environ Health Perspect. 2009 Apr;117(4):522-9. doi: 10.1289/ehp.11692. Epub 2008 Nov 19.
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