Skip to main content
. 2021 Jan 27;10:622358. doi: 10.3389/fonc.2020.622358

Table 2.

Results of linear mixed model analysis.

Dependent variable:
FA ADC FD FA Peritumoral ADC Peritumoral FD Peritumoral
Pathologic
hemispheres
−0.042 0.0001 −0.046 −0.075 0.0001 −0.067
(−0.047, −0.038) (0.00005, 0.0001) (−0.052, −0.039) (−0.082, −0.069) (0.0001, 0.0001) (−0.076, −0.057)
p < 2e-16 p < 2e-16 p < 2e-16 p < 2e-16 p < 2e-16 p < 2e-16
Constant 0.560 0.001 0.718 0.540 0.001 0.729
(0.552, 0.567) (0.001, 0.001) (0.704, 0.732) (0.515, 0.564) (0.001, 0.001) (0.689, 0.769)
p < 2e-16 p < 2e-16 p < 2e-16 p < 2e-16 p < 2e-16 p < 2e-16
Observations 13,000 13,000 13,000 4,138 4,138 4,138
Log Likelihood 7,926.707 97,226.680 2,486.618 3,201.497 31,060.070 1,495.331
Akaike Inf. Crit. −15,845.410 −194,445.400 −4,965.236 −6,394.995 −62,112.150 −2,982.661
Bayesian Inf. Crit. −15,815.520 −194,415.500 −4,935.345 −6,369.683 −62,086.840 −2,957.349

Models 1–3 show results for the entire CST for FA, ADC, and FD, models 4–6 for the peritumoral segments respectively. The table shows regression coefficients for the fixed effect of hemisphere and the intercept with their respective standard error in brackets. Further, number of observations for each model, the log likelihood ratio, Akaike information criterion, and Bayesian information criterion are stated.