TABLE 1.

Results of the GLMs constructed.

Predictor variables	All data (deaths/million ∼ predictor variables) Pseudo R2 = 0.07				1 outlier IENLP1 (deaths/million = 4200) removed (deaths/million ∼ predictor variables) Pseudo R2 = 0.46
	Estimate	Std.Error	Z value	Pr (>|z|)	Estimate	Std.Error	Z value	Pr (>|z|)
(Intercept)	−7.130	0.195	−36.512	<2 x 10−16	−3.340	0.196	−17.020	<2 x 10−16
PRS	5.050	0.290	17.410	<2 x 10−16	10.250	0.403	25.480	<2 x 10−16
Population above 45 years of age (%)	0.200	0.004	53.761	<2 x 10−16	0.190	0.004	48.540	<2 x 10−16
Population density (/km2)	0.000	0.000	−1.366	0.172	0.000	0.000	36.310	<2 x 10−16
Sex ratio	−0.010	0.000	−34.941	<2 x 10−16	−0.020	0.000	−100.470	<2 x 10−16