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Correlation/prediction results for subject measure 40 (Menstrual_BirthControlCode)

132 subjects had a valid Menstrual_BirthControlCode measure.

Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=-0.05 CoD=-0.26     Deconfounded space: r=-0.19 CoD=-0.19
Scatterplot shows predicted-Menstrual_BirthControlCode vs measured-Menstrual_BirthControlCode (in original and deconfounded data space).

Univariate regression (regressing each netmat element independently against Menstrual_BirthControlCode, 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 = 0.7032)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 53 (62 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with Menstrual_BirthControlCode (in decreasing order), with t-statistic listed at the top of each node-pair.