A geostatistical approach to large-scale disease mapping with temporal misalignment.
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ABSTRACT:
SUBMITTER: Hund L
PROVIDER: S-EPMC4104681 | biostudies-literature | 2012 Sep
REPOSITORIES: biostudies-literature
Publications
A geostatistical approach to large-scale disease mapping with temporal misalignment.
Hund Lauren L Chen Jarvis T JT Krieger Nancy N Coull Brent A BA
Biometrics 20111216 3
Temporal boundary misalignment occurs when area boundaries shift across time (e.g., census tract boundaries change at each census year), complicating the modeling of temporal trends across space. Large area-level datasets with temporal boundary misalignment are becoming increasingly common in practice. The few existing approaches for temporally misaligned data do not account for correlation in spatial random effects over time. To overcome issues associated with temporal misalignment, we construc ...[more]
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