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Table 3 Binary logistic regression model with all variables

From: A predictive model for early diagnosis of keratoconus

 

β

S.E.

Wald

df

Sig.

Exp(β)(OR)

Kmax

−0.11

0.18

0.39

1

0.53

0.9

Q

−1.1

1.81

0.37

1

0.54

0.33

MCT

−0.05

0.01

12.77

1

0.00*

0.95

Ant coma 0°

1.65

2.51

0.43

1

0.51

5.19

Post coma 0°

−14.65

10.81

1.84

1

0.18

0

Ant coma 90°

−4.13

2.15

3.68

1

0.06**

0.02

Post coma 90°

24.97

9.02

7.67

1

0.01*

69,920,300,645

Trefoil 0°

−1.56

1.79

0.75

1

0.39

0.21

Trefoil 30°

−0.81

1.59

0.26

1.00

0.61

0.44

Tetrafoil 0°

−0.02

2.22

0.00

1.00

0.99

0.98

Tetrafoil 22.5°

2.15

4.27

0.25

1.00

0.61

8.59

Sph Aberrat

−3.90

3.73

1.10

1.00

0.29

0.02

Constant

27.81

10.56

6.94

1.00

0.01

1,199,896,240,521.74

  1. *p < 0.05, **p < 0.1. Dependent variable: Normal vs ESKC. MCT = Minimum corneal thickness, Sph Aberrat = Spherical Aberration