Table 5 

Parameter estimates from the final model of the logistic regression analysis (stepwise forward procedure) performed using CCSVI as the dependent variable. 

Parameter Estimates 



CCSVI^{a} 
B 
Std Error 
Wald 
df 
Sig. 
Exp(B) 
95% Confidence interval for Exp(B) 



Lower limit 
Upper limit 



1 
Intercept 
1.204 
1.153 
1.089 
1 
.297 

[CENTRE = 1] 
2.199 
1.056 
4.338 
1 
.037 
.111 
.014 
.878 

[CENTRE = 2] 
.356 
1.190 
.089 
1 
.765 
1.427 
.139 
14.695 

[CENTRE = 3] 
.183 
1.260 
.021 
1 
.885 
.833 
.070 
9.844 

[CENTRE = 4] 
2.534 
1.056 
5.764 
1 
.016 
.079 
.010 
.628 

[CENTRE = 5] 
2.217 
1.157 
3.671 
1 
.055 
.109 
.011 
1.052 

[CENTRE = 6] 
0^{b} 
. 
. 
0 
. 
. 
. 
. 

EDSS 
.228 
.080 
8.066 
1 
.005 
1.256 
1.073 
1.470 

Age at onset 
.047 
.018 
6.778 
1 
.009 
1.049 
1.012 
1.087 



The centredefining variable (5 df) was forced to enter. Positive B values indicate a higher probability of CCSVI+. 

Bastianello et al. BMC Neurology 2011 11:132 doi:10.1186/1471237711132 