818 subjects had a valid SelfEff_Unadj measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=-0.01 CoD=-0.20 Deconfounded space: r=-0.13 CoD=-0.11
Scatterplot shows predicted-SelfEff_Unadj vs measured-SelfEff_Unadj (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against SelfEff_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) = 0 (minimum corrected p = 0.6014)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 45 (62 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with SelfEff_Unadj (in decreasing order), with t-statistic listed at the top of each node-pair.
