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Correlation/prediction results for subject measure 475 (Taste_AgeAdj)

815 subjects had a valid Taste_AgeAdj measure.

Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.07 CoD=-0.19     Deconfounded space: r=-0.07 CoD=-0.12
Scatterplot shows predicted-Taste_AgeAdj vs measured-Taste_AgeAdj (in original and deconfounded data space).

Univariate regression (regressing each netmat element independently against Taste_AgeAdj, 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 = 0.8500)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 255 (248 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with Taste_AgeAdj (in decreasing order), with t-statistic listed at the top of each node-pair.