Hierarchical regression with misaligned spatial data: relating ambient ozone and pediatric asthma ER visits in Atlanta-Reference-Cited by-同舟云学术

Hierarchical regression with misaligned spatial data: relating ambient ozone and pediatric asthma ER visits in Atlanta

Published:2003 Issue:5 Volume:14 Page:537-557
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Zhu Li,Carlin Bradley P.,Gelfand Alan E.

Publisher

Wiley

Subject

Ecological Modelling,Statistics and Probability

Reference28 articles.

1. 1994. Bayesian Theory. Wiley: New York.

2. Bayesian image restoration, with two applications in spatial statistics

3. 1987. Statistical Methods in Cancer Research, Volume II?The Design and Analysis of Cohort Studies. International Agency for Research on Cancer: Lyon.

4. Multivariate spatial interpolation and exposure to air pollutants

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