818 subjects had a valid AngAffect_Unadj measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.05 CoD=-0.09 Deconfounded space: r=0.10 CoD=0.01
Scatterplot shows predicted-AngAffect_Unadj vs measured-AngAffect_Unadj (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against AngAffect_Unadj, correcting for multiple comparisons across elements, using PALM permutation testing, taking into account family structure).
Number of significantly correlated edges at p<0.05 (two-tailed, FWE corrected) = 2 (minimum corrected p = 0.0118)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 21 (6 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with AngAffect_Unadj (in decreasing order), with t-statistic listed at the top of each node-pair.
