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Correlation/prediction results for subject measure 96 (DSM_Antis_Raw)

816 subjects had a valid DSM_Antis_Raw measure.

Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.16 CoD=0.01     Deconfounded space: r=0.00 CoD=-0.06
Scatterplot shows predicted-DSM_Antis_Raw vs measured-DSM_Antis_Raw (in original and deconfounded data space).

Univariate regression (regressing each netmat element independently against DSM_Antis_Raw, 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 = 0.6220)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 2371 (2243 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with DSM_Antis_Raw (in decreasing order), with t-statistic listed at the top of each node-pair.