Daily mortality/morbidity and air quality: Using multivariate time series with seasonally varying covariances-Reference-Cited by-同舟云学术

Daily mortality/morbidity and air quality: Using multivariate time series with seasonally varying covariances

Published:2021-10-10 Issue:1 Volume:71 Page:148-174
ISSN:0035-9254
Container-title:Journal of the Royal Statistical Society: Series C (Applied Statistics)
language:en
Short-container-title:Royal Stata Society Series C

Author:

Huang Guowen¹²^ORCID,Brown Patrick E.¹²^ORCID,Fu Sze Hang²,Shin Hwashin Hyun³⁴

Affiliation:

1. Department of Statistical Sciences University of Toronto Toronto Ontario Canada

2. Centre for Global Health Research St Michael’s Hospital Toronto Ontario Canada

3. Environmental Health Science and Research Bureau Health Canada Ottawa Ontario Canada

4. Department of Mathematics and Statistics Queen’s University Kingston Ontario Canada

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/rssc.12525

Reference58 articles.

1. AEA Technology. (2011)UK modelling under the Air Quality Directive (2008/50/EC) for 2010 covering the following air quality pollutants: SO2 NOx NO2 PM10 PM2.5 lead benezene CO and ozone. Available from:http://uk‐air.defra.gov.uk/assets/documents/reports/cat09/1204301513_AQD2010mapsrep_master_v0.pdf

2. Air pollution and daily mortality in London: 1987-92

3. A Spatio-Temporal Downscaler for Output From Numerical Models

4. Methodological issues regarding confounding and exposure misclassification in epidemiological studies of occupational exposures

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