Linking stroke mortality with air pollution, income, and greenness in northwest Florida: an ecological geographical study

Table 1 Markov chain Monte Carlo results for Bayesian hierarchical modelling of stroke mortality vs. income, air pollution, and greenness*

Fixed Effects	Posterior Mean	Posterior Median	Standard Deviation	MC Error	95% Credible Set
β ₀	1.829	1.832	0.083	0.004	(1.661, 1.986)
β ₁	-0.193	-0.193	0.047	0.003	(-0.286, -0.097)
β ₂	0.089	0.089	0.028	0.001	(0.034, 0.144)
β ₃	0.937	0.932	0.276	0.010	(0.419, 1.495)
β ₄	0.974	0.980	0.290	0.012	(0.413, 1.522)
β ₅	-0.161	-0.161	0.067	0.002	(-0.289,-0.031)

* Posterior means, medians, and 95% credible sets are based on 5,000 postconvergence iterations (from 5,001 to 10,000). Fixed effects are: β₀ - intercept, β₁ - income effect, β₂ - traffic air pollution effect, β₃ - effect of EPA and Florida DEP monitored point source air emission, β₄ - effect of non-monitored point source air pollution, and β₅ - greenness.

ISSN: 1476-072X