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Fig. 1 | BMC Public Health

Fig. 1

From: Estimating micro area behavioural risk factor prevalence from large population-based surveys: a full Bayesian approach

Fig. 1

Current smoking prevalence by 2006 DA, adjusted for survey cycle and age (model 1). Males are shown on the left and females are shown on the right. Micro area prevalence of current smoking calculated as a percentage for 1,111 DAs using full Bayesian logistic regression with the Besag-York-Mollié (BYM) model to account for the spatially correlated and uncorrelated random effects. Posterior probabilities that exceeded the model-based Erie-St. Clair regional average for current smoking (males: 27.1 %, females: 21.3 %) for 95 % or more of the Bayesian simulations are shown with hatch marks. Statistically significant SaTScan clusters (p-value ≤ 0.05) are indicated by the ellipses

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