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. 2017 Jul 14;14(7):782. doi: 10.3390/ijerph14070782

Table 3.

Summary of the multiple logistic regression models on the risks for bacillary dysentery in southwest China.

Variable Coefficient OR OR (95% CI) p-Value AUC ± SD Kappa ± SD
Intercept −24.557 <0.001
DisFarm −0.087 0.916 0.880 0.954 <0.001
DisWater −0.062 0.940 0.914 0.967 0.001
GRP −0.296 0.744 0.664 0.834 <0.001
EthnicTerrain-2 1.112 3.059 1 2.242 4.175 <0.001
Forest-2 3.474 32.875 2 13.154 82.188 <0.001
Slope −0.131 0.877 0.863 0.891 <0.001
ElevationSD 0.542 1.721 1.535 1.931 <0.001
RH_Ann 0.706 2.029 1.758 2.341 <0.001
(RH_Ann) 2 −0.007 0.993 0.992 0.994 <0.001
AT_Ann 0.169 1.184 1.135 1.236 <0.001
BedNum-2 0.877 2.441 3 1.178 5.062 <0.001
BedNum-3 2.346 10.710 5.155 22.260 <0.001
BedNum-4 2.981 20.234 9.187 44.586 <0.001
Model 0.944 ± 0.004 0.75 ± 0.01

1 the odds ratio of EthnicTerrain-2 (Tibeto-Burman in Mountain land) is estimated in comparison to EthnicTerrain-1 (other situations); 2 the odds ratio of Forest-2 (forest coverage) is estimated in comparison to Forest-1 (non-forest coverage); 3 the odds ratio of BedNum-2, BedNum-3, BedNum-4 is estimated in comparison to BedNum-1 respectively.