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. Author manuscript; available in PMC: 2009 Aug 25.
Published in final edited form as: J Magn Reson Imaging. 2009 Jan;29(1):70–77. doi: 10.1002/jmri.21648

Table 4.

Summary of correlation coefficient and its significance {r(p)} between demographic, clinical, whole brain, and caudate nuclei metrics on the RRMS patient group.

DD EDSS WBLVp WBCSFp CNVp FA(CN) Dav(CN) T2(CN)

Age 0.365 0.074 0.036 0.291 −0.291 0.296 −0.322 0.094
(0.04) (0.69) (0.84) (0.11) (0.11) (0.12) (0.07) (0.61)

DD 1 0.189 0.207 0.224 −0.24 0.296 −0.161 0.205
(0.30) (0.255) (0.22) (0.19) (0.1) (0.38) (0.261)

EDSS 1 0.299 0.362 −0.143 0.078 0.311 0.311
(0.097) (0.04) (0.43) (0.67) (0.08) (0.084)

WBLVp 1 0.510 −0.482 0.625 −0.097 0.156
(0.003) (0.005) (0.0001) (0.60) (0.40)

WBCSFp 1 −0.457 0.337 −0.089 0.122
(0.01) (0.06) (0.63) (0.51)

CNVp 1 −0.674 0.439 0.056
(0.00002) (0.01) (0.76)

FA(CN) 1 −0.344 0.031
(0.05) (0.866)

Dav(CN) 1 0.119
(0.52)

Bolded values correspond to statistically significant p-values (p ≤ = 0.05). Examples to help read this Table: r(DD, DD) = 1 (p = 0); Pearson r(age, DD) = r(DD, age) = 0.365 (p = 0.04); Spearman r(age, EDSS) = 0.074 (p = 0.69)}. The mean and SD values (µ ± σ) values for all variables on the RRMS patients are summarized in Table 2 and Table 3. The slope (β) for each variable (y) regressed against another variable (x) can be related to r: slope b = r * σ(y)/σ(x) (linear regression model: y= b * x + a + noise).