Table 4

The logistic regression analysis between the diagnostic decision and H(ei) controlled for expertise
Dependent variable: d
Final loss: 595.43 R = 0.45 R2= 0.205
H-B
βi Std.Err. p-level <a onClick="popup('http://www.biomedcentral.com/1471-2202/14/109/mathml/M15','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2202/14/109/mathml/M15">View MathML</a>
Intercept 0.05 0.13 0.677
Expertise 0.24 0.02 0.000
C3 -0.21 0.34 0.531 0.50
C4 1.43 0.22 0.000* 1.00
CZ -0.88 0.29 0.003* 0.11
F3 0.75 0.30 0.008* 0.74
F4 0.07 0.29 0.815 0.50
F7 0.08 0.21 0.687 0.50
F8 0.34 0.19 0.009* 0.58
FP1 0.12 0.24 0.613 0.50
FP2 -0.07 0.26 0.801 0.50
FZ -0.86 0.30 0.005 0.50
O1 0.33 0.27 0.231 0.50
O2 -0.65 0.26 0.013 0.50
OZ 1.11 0.30 0.000* 0.88
P3 -0.19 0.43 0.653 0.50
P4 0.06 0.29 0.825 0.50
PZ -0.59 0.31 0.063 0.50
T3 0.06 0.25 0.823 0.50
T4 -1.17 0.33 0.000* 0.00
T5 -0.43 0.25 0.078 0.50
T6 1.27 0.32 0.000* 0.94

The values <a onClick="popup('http://www.biomedcentral.com/1471-2202/14/109/mathml/M16','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2202/14/109/mathml/M16">View MathML</a> are the normalized values of the product βiH(ei), which were estimated for those inferences according to the Holm-Bonferroni (H-B) method. The statistically significant inferences are marked with asterisks.

Ribas et al.

Ribas et al. BMC Neuroscience 2013 14:109   doi:10.1186/1471-2202-14-109

Open Data