back to index

Correlation/prediction results for subject measure 120 (Avg_Weekday_Beer_Wine_Cooler_7days)

806 subjects had a valid Avg_Weekday_Beer_Wine_Cooler_7days measure.

Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.23 CoD=0.02     Deconfounded space: r=0.07 CoD=-0.05
Scatterplot shows predicted-Avg_Weekday_Beer_Wine_Cooler_7days vs measured-Avg_Weekday_Beer_Wine_Cooler_7days (in original and deconfounded data space).

Univariate regression (regressing each netmat element independently against Avg_Weekday_Beer_Wine_Cooler_7days, 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 = 0.0362)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 102 (62 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with Avg_Weekday_Beer_Wine_Cooler_7days (in decreasing order), with t-statistic listed at the top of each node-pair.