To calculate multivariate relations of lactate and other baseline characteristics that were available before the first angiogram to 30-day mortality, we used binary logistic regression analysis.
To explore the bivariate and multivariate relations between fatty degeneration of the lumbar multifidus muscle (LMM) and LMM function among patients with low back pain (LBP).
Under this scenario, we can hypothesize that the rules of the network processing may change according to the multivariate relations described in the present paper.
Multivariate relations were further explored by principal component analysis in order to get a stable foundation for the construction of regression models.
Univariate and multivariate linear regression identified the relation of behavioral intention with each of six psychosocial variables.
The multivariate analysis displayed an independent relation of Her2/neu overexpression with screen-detected DCIS (OR = 12.8; 95%CI 1.6 104.0; p =.018).
Multivariate linear regression assessed the relation of A1C with 25(OH D after accounting for age, race/ethnicity, sex, BMI, self-reported diabetes, physical activity, any dietary supplement use, and parathyroid hormone (PTH).
In multivariate analysis, we assessed the independent relation of black race (compared to white) to HRQoL scores from the eight domains of the Medical Outcomes (SF-36) Survey: Physical Functioning, Role-Physical, Bodily Pain, Vitality, General Health, Social Functioning, Role-Emotional, and Mental Health.
To confirm this relation, we next perform multivariate estimation of the relation between illiquidity and returns.
Pilar was a relation of theirs.
