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Table 4 Logistic regression: parameter coefficient estimates, standard error, p-value and odds ratio

From: The importance of modelling the spread of insecticide resistance in a heterogeneous environment: the example of adding synergists to bed nets

  Estimate Std. Error p-value OR
Intercept 7.614 0.975 < 0.05 2.026e+03
h n -3.215 0.553 < 0.05 4.016e-02
h o 7.828 0.685 < 0.05 2.511e+03
h i -8.761 0.696 < 0.05 1.567e-04
z -3.057 0.515 < 0.05 4.703e-02
s o 8.109 0.688 < 0.05 3.324e+03
s i -7.645 0.681 < 0.05 4.785e-04
φ o 3.797 0.416 < 0.05 4.455e+01
φ i -6.929 0.544 <0.05 9.794e-04
β f 0.190 0.387 0.6 1.209e+00
β m 0.378 1.833 0.8 1.460e+00
α fi -6.584 0.753 <0.05 1.383e-03
α fn -22.538 1.447 <0.05 1.628e-10
α mi -2.205 3.016 0.46 1.103e-01
α mn -0.948 0.472 0.04 3.875e-01