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. 2016 Dec;6(6):623–633. doi: 10.21037/qims.2016.11.03

Table 1. Comparison of the principal components (PCs) of the two controls group extracted from T maps and normalized Z-score maps. Averages and standard deviation are presented normalized between 0 and 1 to allow direct comparison between the 2 models.

Principal components T PCA (mean, SD) Z-score PCA (mean, SD)
Control group 1 (N=25) Control group 2 (N=10) P value Control group 1 (N=25) Control group 2 (N=10) P value
PC1 (1.00, 0.06) (0.97, 0.09) 0.2561 (1.00, 0.18) (1.00, 0.28) 0.9927
PC2 (0.35, 0.03) (0.39, 0.12) 0.0826# (0.49, 0.11) (0.49, 0.19) 0.9865
PC3 (0.33, 0.03) (0.32, 0.07) 0.0643# (0.38, 0.11) (0.44, 0.08) 0.9582
PC4 (0.43, 0.04) (0.38, 0.04) 0.2275 (0.70, 0.13) (0.68, 0.10) 0.9839
PC5 (0.32, 0.03) (0.29, 0.04) 0.0002* (0.39, 0.12) (0.44, 0.10) 0.9755
PC6 (0.22, 0.04) (0.22, 0.02) 0.0448* (0.37, 0.09) (0.49, 0.09) 0.9987
PC7 (0.27, 0.03) (0.26, 0.03) 0.0038* (0.53, 0.10) (0.48, 0.09) 0.9735
PC8 (0.11, 0.02) (0.11, 0.04) 0.0054* (0.47, 0.12) (0.44, 0.07) 0.9960
PC9 (0.13, 0.03) (0.06, 0.05) 0.0008* (0.36, 0.09) (0.34, 0.07) 0.9961
PC10 (0.15, 0.03) (0.14, 0.06) 0.6686 (0.40, 0.09) (0.33, 0.05) 0.9966

*, independent t-test significant P vale<0.05; #, approaching significant P value <0.1. PCA, principal component analysis; SD, standard deviations.