Skip to main content

Table 2 Comparison of model fit and sensitivity of detecting areas with an elevated risk

From: Evaluating the effect of neighbourhood weight matrices on smoothing properties of Conditional Autoregressive (CAR) models

Neighbourhood type Kappa Fraction DIC AUC* Sensitivity of detecting SLAs with elevated risks (PP cut-off = 0.33) Specificity
Queen-1 0.05 22% 2283 0.61 77% 41%
Queen-2 0.05 51% 2282 0.62 78% 43%
Rook-1 0.05 14% 2282 0.62 76% 41%
Rook-2 0.05 41% 2282 0.62 78% 39%
Distance 0.07 41% 2274 0.62 80% 30%
Weight-1 (1/distance) 0.07 41% 2213 0.62 80% 30%
Weight-2 (1/distance2) 0.12 98% 2204 0.61 75% 44%
Weight-3 (1/distance3) 0.08 93% 2218 0.59 75% 46%
Weight 4 (Gravity) 0.15 99% 2202 0.60 74% 39%
Weight 5 (Entropy) 0.08 91% 2227 0.60 74% 47%
Weight 6 (Density) 0.14 97% 2208 0.60 74% 37%
Weight 7 (Covariate) 0.10 95% 2210 0.62 74% 47%
  1. * Area under curve from ROC analysis