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Table 3 Logistic Generalised Estimating-Equation (GEE) and Alternating Logistic Regression (ALR) model of the probability of a false positive result to the IFNγ test.

From: Identification of risk factors associated with disclosure of false positive bovine tuberculosis reactors using the gamma-interferon (IFNγ) assay

Variable

Label

b

S.E.

OR

Low

Upper

p-value1

p-value2

GEE model

Constant

 

-2.55

0.41

     

Age (years)

0.5-1

Referent

     

0.046

2

-0.20

0.25

0.82

0.50

1.34

0.431

3-4

0.17

0.26

1.19

0.71

1.98

0.518

≥ 5

0.33

0.19

1.40

0.96

2.03

0.080

Region3

NE

Referent

     

0.035

NW

-0.36

0.43

0.70

0.30

1.62

0.400

SE

-0.26

0.56

0.77

0.26

2.30

0.643

SW

0.80

0.41

2.23

1.00

4.98

0.051

Ρ

 

0.068

     

ALR model

Constant

 

-2.53

0.40

     

Age (years)

0.5-1

Referent

     

0.045

2

-0.19

0.25

0.83

0.51

1.35

0.445

3-4

0.16

0.27

1.18

0.70

1.99

0.542

≥ 5

0.34

0.20

1.40

0.95

2.06

0.088

Region3

NE

Referent

     

0.026

NW

-0.40

0.42

0.67

0.29

1.53

0.343

SE

-0.34

0.51

0.71

0.26

1.95

0.511

SW

0.76

0.40

2.13

0.97

4.71

0.061

logOR

 

0.592

0.155

   

<0.001

  1. b coefficient, S.E Standard Error, OR Odds ratio.
  2. 1Wald test. 2 Generalised score test. 3 NE (North-East), NW (North-West), SE (South-East), SW (South-West).