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. 2015 May 13;21(6):367–373. doi: 10.1136/injuryprev-2014-041473

Table 2.

Linear regression models with mortality rate in 434 Norwegian municipalities as dependent variable and population density and travel time to hospital care in minutes as categorical predictors

Univariate models Multiple model 2
Explanatory variable Estimate (95% CI) p Value AIC Radj2 Estimate (95% CI) p Value AIC Radj2
Population density* 3423.7 0.207 3419.5 0.220
Third quartile (central) 3.65 (1.44 to 5.84) <0.001 3.61 (1.42 to 5.80) 0.001
Second quartile (rural) 5.92 (3.69 to 8.14) <0.001 5.64 (3.31 to 7.98) <0.001
First quartile (most rural) 12.0 (9.74 to 14.2) <0.001 10.0 (7.33 to 12.7) <0.001
Travel time† 3465.2 0.127
[30,60) 4.1 (1.90 to 6.35) <0.001 0.40 (−1.94 to 2.76) 0.733
[60,120) 10.6 (7.49 to 13.8) <0.001 4.64 (1.15 to 8.12) 0.009
[120,→) 13.4 (7.16 to 19.6) <0.001 6.97 (0.78 to 13.2) 0.027

Weighted by municipality population.

*Fourth quartile (most urban) as reference category.

†[0, 30) minutes as reference category.

AIC, Akaike's information criterion.