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Table 12 Ordinal Logistic regression to assess the influence of study variables on type of NSD

From: Analysis of inferior nasal turbinate width and concha bullosa in subjects with nasal septum deviation: a cone beam tomography study

 

Estimate

Std. Error

Wald

df

p-value

95% Confidence Interval

Odds ratio

95% Confidence Interval of odds ratio

Lower Bound

Upper Bound

Lower Bound

Upper Bound

Threshold

[Type = 1]

14.01

3.12

20.10

1

 < 0.001*

7.89

20.13

   

[Type = 2]

15.93

3.23

24.26

1

 < 0.001*

9.59

22.27

   

Variables

Age

0.03

0.02

2.90

1

0.09 (NS)

− 0.01

0.07

1.03

1.00

1.07

HT – Anterior Width

− 0.01

0.57

0.00

1

0.06 (NS)

− 1.13

1.12

0.99

0.32

3.05

HT – Middle Width

1.58

0.64

6.13

1

0.01*

0.33

2.84

4.87

1.39

17.10

HT – Posterior Width

− 0.23

0.40

0.34

1

0.07 (NS)

− 1.02

0.55

0.79

0.36

1.74

NHT – Anterior Width

− 0.08

0.32

0.06

1

0.81 (NS)

− 0.71

0.55

0.93

0.49

1.73

NHT – Middle Width

0.45

0.34

1.80

1

0.18 (NS)

− 0.21

1.11

1.57

0.81

3.05

NHT – Posterior Width

− 0.21

0.22

0.89

1

0.35 (NS)

− 0.64

0.22

0.81

0.53

1.25

[Concha Bullosa-present]

− 0.94

0.51

3.35

1

0.04*

− 1.95

0.07

0.39

0.14

1.07

[Concha Bullosa-absent]

0

  

0

      

[Gender-male]

0.44

0.48

0.82

1

0.37 (NS)

− 0.51

1.39

1.55

0.60

4.00

[Gender-female]

0

  

0

      
  1. Model Chi square (9) = 78.76, p < 0.001*
  2. Cox and Snell R2 = 0.545, Nagelkerke R2 = 0.616
  3. *p < 0.05 Statistically Significant, p > 0.05 Non Significant, NS