Table 2 Results of different regression approaches (N = 187)
From: Spatial analysis of cardiovascular mortality and associated factors around the world
| Â | OLS model | Spatial lag model | Spatial error model |
|---|---|---|---|
Intercept | 808.53 *** (70.086) | 693.655 *** (73.485) | 944.748 *** (74.649) |
GDP per capita | -0.003 *** (0.001) | -0.003 *** (0.001) | -0.004 *** (0.001) |
% urbanization | -1.352 (0.867) | -1.567 (0.816) | -1.277 (0.765) |
Schooling | -26.400 *** (6.682) | -22.446 *** (6.364) | -30.762 *** (5.765) |
Cigarettes | 10.110 *** (1.904) | 9.065 *** (1.796) | 6.146 *** (1.873) |
Model diagnostics | |||
 R2 | 0.37 | 0.33a | 0.34a |
 AIC | 2,495.36 | 2,481.06 | 2,431.18 |
 Log likelihood | -1,242.68 | -1,234.53 | -1,210.59 |
 Likelihood Ratio Test (Prob) | ― | 16.30 (0.000) | 64.18 (0.000) |
Spatial effect | |||
 Rho (spatial lag) | ― | 0.212 *** (0.051) | ― |
 Lambda (spatial error) | ― | ― | 0.658 *** (0.058) |
Spatial dependence diagnostics | |||
 Moran’s I | 0.498 *** (8.303) | ― | ― |
 Lagrange Multiplier | ― | 16.972 *** | 61.449 *** |
 Robust Lagrange Multiplier | ― | 0.056 | 44.533 *** |