Open Access
Scientific Article

Table 3

Binary logistic regression – generalized model with all interaction terms.

B SE Wald df p Exp (B)
L night,road 0.862 0.592 2.124 1 0.145 2.368
L night,rail 0.478 0.761 0.395 1 0.530 1.613
L night,air 0.635 0.998 0.404 1 0.525 1.886
Lnight,rail by Lnight,road −0.014 0.016 0.822 1 0.365 0.986
Lnight,rail by Lnight,air −0.005 0.027 0.034 1 0.853 0.995
Lnight,air by Lnight,road −0.018 0.021 0.780 1 0.377 0.982
Lnight,air by Lnight,rail by Lnight,road 0.000 0.001 0.207 1 0.649 1.000
Gender −0.555 0.263 4.468 1 0.035 0.574
Age2 0.000 0.000 6.041 1 0.014 1.000
Sensitivity 0.231 0.049 22.699 1 0.000 1.260
Access to quiet façade 0.175 0.103 2.886 1 0.089 1.191
Educational level 0.681 0.264 6.640 1 0.010 1.975
Noise protection given −0.514 0.214 5.746 1 0.017 0.598
Constant −37.390 28.698 1.698 1 0.193 0.000

Note: B = regression coefficient; SE = standard error; Wald = Wald Chi-square; df = degrees of freedom; p = significant level; p < 0.05 is marked in bold.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.