Modeling Community Health with Areal Data: Bayesian Inference with Survey Standard Errors and Spatial Structure

Modeling Community Health with Areal Data: Bayesian Inference with Survey Standard Errors and Spatial Structure

Epidemiologists and health geographers routinely use small-area survey estimates as covariates to model areal and even individual health outcomes. American Community Survey (ACS) estimates are accompanied by standard errors (SEs), but it is not yet standard practice to use them for evaluating or mod...

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Bibliographic Details
Main Authors: Connor Donegan, Yongwan Chun, Daniel A. Griffith
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:International Journal of Environmental Research and Public Health
Subjects:
spatial epidemiology
health disparities
Bayesian inference
mortality rates
measurement error
spatial autocorrelation
Online Access:https://www.mdpi.com/1660-4601/18/13/6856

Internet

https://www.mdpi.com/1660-4601/18/13/6856

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