Controlling for localised spatio-temporal autocorrelation in long-term air pollution and health studies.

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作者： Duncan,Lee ^[1] ; Richard,Mitchell ^[2]

作者单位： School of Mathematics and Statistics, University of Glasgow, Glasgow, UK Duncan.Lee@glasgow.ac.uk. ^[1] Institute for Health and Wellbeing, University of Glasgow, Glasgow, UK. ^[2]

关键词 Gaussian Markov random fields air pollution and health studies spatio-temporal autocorrelation

主题词空气污染(Air Pollution);贝叶斯定理(Bayes Theorem);环境暴露(Environmental Exposure);人类(Humans);线性模型(Linear Models);Markov链(Markov Chains)

DOI 10.1177/0962280214527384

PMID 24648100

发布时间 2021-10-21

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Statistical methods in medical research

2014年23卷6期

488-506页

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Controlling for localised spatio-temporal autocorrelation in long-term air pollution and health studies.

Statistical methods in medical research

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Statistical methods in medical research

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Controlling for localised spatio-temporal autocorrelation in long-term air pollution and health studies.

Statistical methods in medical research

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Statistical methods in medical research

相关期刊

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