132 subjects had a valid Menstrual_BirthControlCode measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=-0.04 CoD=-0.20 Deconfounded space: r=-0.15 CoD=-0.14
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) = 1 (minimum corrected p = 0.0458)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 11 (15 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.
