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Table 4 The method of spatial analysis: effect of the socioeconomic status on the spatial structure of cancer incidence [regression coefficient with 95 % confidence intervals for Poisson models or credible intervals for HBSM]

From: Impact of socioeconomic inequalities on geographic disparities in cancer incidence: comparison of methods for spatial disease mapping

  SpODT SATSCAN HBSM
α + βχι α + Vi + βχι α + Ui + βχι α + Ui + Vi + βχι
Lung --- --- 0.059 [0.050; 0.069] 0.067 [0.054; 0.080]a 0.065 [0.053; 0.077] 0.068 [0.055; 0.080]
Prostate 5 clusters --- -0.017 [-0.023; -0.011] -0.010 [-0.021; -0.0005] -0.012 [-0.022; -0.001]a -0.011 [-0.021; -0.0009]
Colon rectum --- --- -0.001 [-0.011; 0.009]a 0.0003 [-0.011; 0.012] 0.0004 [-0.010; 0.011] 0.0007 [-0.011; 0.013]
Bladder 1 cluster --- 0.023 [0.007; 0.039] 0.023 [0.004; 0.043] 0.022 [0.003; 0.041]a 0.024 [0.003; 0.045]
  1. aBest Bayesian model in term of DIC, βχ ι additional covariate - \( \mathbf{\mathcal{U}} \): Autocorrelation - \( \mathbf{\mathcal{V}} \): heterogeneity \( \mathbf{\mathcal{X}} \) Townsend index components