BMC Neuroscience

Table 4 The logistic regression analysis between the diagnostic decision and H ( e _i ) controlled for expertise

From: Brain activity and medical diagnosis: an EEG study

Dependent variable: d
Final loss: 595.43		R = 0.45	R² = 0.205
				H-B
	β _i	Std.Err.	p-level	$β_{i} \bar{H} (e_{i})$
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 $β_{i} \bar{H} (e_{i})$ are the normalized values of the product β_iH(e_i), which were estimated for those inferences according to the Holm-Bonferroni (H-B) method. The statistically significant inferences are marked with asterisks.

Back to article page

ISSN: 1471-2202

Contact us

General enquiries: journalsubmissions@springernature.com