Circulating levels of 25(OH D were measured, and multivariate odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using conditional logistic regression.
For the hierarchical data (repeated measurements of individuals) collected over the one-year observational period, multi-level repeated measures analyses and multivariate logistic regression analyses will be used extensively in the statistical analyses.
With respect to ASD diagnostic subtypes, there were no significant differences between AS and HFA groups on individual cognitive measures, and the multivariate SVM technique did not classify groups any better than chance.
To compare the neural distribution of the grammatical computations triggered by these conditions, we analyzed the data using both standard univariate measures and the multivariate Representational Similarity Analysis (RSA) technique [Kriegeskorte et al., 2008].
Couple cohabitation status was an effect measure modifier, and multivariate analyses were stratified by cohabitation status.
The prevalence of all outcome measures and the multivariate-adjusted odds ratios (ORs) for hyperinsulinemia, high HOMA-IR, high GHb, and 2-h hyperglycemia decreased linearly across quintiles of 25(OH D (P < 0.05 for all) (Table 1).
