Bibliographic Details
| Title: |
Hierarchical modeling of spatio-temporally misaligned data: relatingtraffic density to pediatric asthma hospitalizations |
| Authors: |
Zhu, Li, English, Paul, Carlin, Bradley P., Scalf, Russell |
| Source: |
Environmetrics; Jan/Feb2000, Vol. 11 Issue 1, p43, 0p |
| Subject Terms: |
MODELING (Sculpture), AIR pollution, DISEASES, GEOGRAPHIC information systems, MATHEMATICAL analysis, MEDICAL research |
| Abstract: |
Bayes and empirical Bayes methods have proven effective in smoothingcrude maps of disease risk, eliminating the instability of estimatesin low-population areas while maintaining overall geographic trends and patterns. Recent work applies these methods to the analysis of areal data which are spatially misaligned, i.e., involving variables (typically counts or rates) which are aggregated over differing sets ofregional boundaries. In this paper we extend this hierarchical modeling approach to the spatio-temporal case, so that misalignment can arise either within a given timepoint, or across timepoints (as when the regional boundaries themselves evolve over time). Implemented usingMarkov chain Monte Carlo computing methods, our approach sensibly combines the relevant data sources and imposes the necessary constraints over the misaligned regional grids. We illustrate the method through an analysis of the dataset that motivated the method, which relatestraffic density to pediatric asthma hospitalizations in San Diego County, California. We compare two different measures of the traffic covariate (neither of which is aligned with the zip code-level asthma data), mapping the resulting fitted risk estimates in the Geographic Information System (GIS) ARC/INFO. Results in both cases are consistent with those of several previous authors who have investigated the traffic-asthma link. [ABSTRACT FROM AUTHOR] |
|
Copyright of Environmetrics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |
