132 subjects had a valid Menstrual_BirthControlCode measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=-0.07 CoD=-0.24 Deconfounded space: r=-0.09 CoD=-0.17
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 = 0.0938)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 2135 (2243 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.
