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A geographic identifier assignment algorithm with Bayesian variable selection to identify neighborhood factors associated with emergency department visit disparities for asthma
BACKGROUND: Ecologic health studies often rely on outcomes from health service utilization data that are limited by relatively coarse spatial resolutions and missing geographic information, particularly neighborhood level identifiers. When fine-scale geographic data are missing, the ramifications an...
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| Veröffentlicht in: | Int J Health Geogr |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7081565/ https://ncbi.nlm.nih.gov/pubmed/32188481 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12942-020-00203-7 |
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