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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