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Table 5 The logistic regression analysis between expertise and H ( e i )

From: Brain activity and medical diagnosis: an EEG study

Dependent variable: expertise   
Final loss: 234.44 R = 0.58 R2 = 0.34  
     H-B
  β i Std.Err. p-level β i H ¯ e i
Intercept -0.02 0.09 0.00  
C3 -0.06 0.09 0.508 0.50
C4 -0.23 0.09 0.010* 0.46
CZ 0.34 0.09 0.000* 0.86
F3 -0.18 0.08 0.019 0.50
F4 0.38 0.08 0.000* 0.89
F7 -0.41 0.06 0.000* 0.33
F8 -0.10 0.06 0.104 0.50
FP1 0.49 0.06 0.000* 0.97
FP2 0.25 0.06 0.000* 0.80
FZ -0.09 0.07 0.217 0.50
O1 0.23 0.08 0.006* 0.78
O2 -0.88 0.07 0.000* 0.00
OZ 0.54 0.06 0.000* 1.00
P3 0.09 0.08 0.275 0.50
P4 -0.07 0.08 0.384 0.50
PZ -0.61 0.08 0.000* 0.19
T3 -0.26 0.06 0.000* 0.44
T4 0.50 0.07 0.000* 0.98
T5 -0.28 0.07 0.000* 0.42
T6 -0.05 0.07 0.449 0.50
  1. The values β i H ¯ e i are the normalized values of the product β i H(e i ), which were estimated for those inferences according to the Holm-Bonferroni (H-B) method. The statistically significant inferences are marked with asterisks.