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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.