Table 2.

P values for the regression of Principal Component 1^a against various demographic variables, using both the entire data set and the data set broken out into the three groups (CBZ, VPA and control). Significant correlations are noted by bold type.

Variable	All	CBZ	Control	VPA
Group	<0.0001	-	-	-
Age	<0.0001	<0.0001	0.0005	<0.0001
Gender	0.7373	0.9514	0.5308	0.8603
Race	0.6576	0.9027	0.5130	0.1453
Weight	<0.0001	0.0003	0.0002	<0.0001
Dose	<0.0001	0.1121	-	0.0019
Concurrent Medications	-	-	-	0.5339

^aPrincipal Component 1 represents the linear combination of factors that accounts for the largest amount of variability in the data, and each succeeding component (PC2, PC3) has the highest variance possible under the constraint that it is uncorrelated with the preceding components. PC1 accounted for 31.2% of the variability in the current dataset.