This was achieved through bivariate and multivariate analyses including categorical analysis, concentration ratios, and hierarchical cluster analysis.
Univariate and contrast analyses were performed in addition to multivariate analyses including all four microbial variables, and denominated as soil microbial variables (SMV).
Multivariate analyses including sociodemographic variables, anxiety and depression (Model 1) indicated that patients with anxiety (OR = 3.9, 95% CI: 2.0 8.0) and depression (OR = 14.8, 95% CI: 5.5 39.7) exhibited increased ORs for insomnia.
Health Belief Model constructs were associated with HPV vaccine initiation in multivariate analyses, including doctor's recommendation to get HPV vaccine, perceived barriers to obtaining HPV vaccine, and perceived potential vaccine harms.
Multivariate analyses including age, gender, smoking, cholesterol level, known CAD, EF, hypertension or diabetes were performed for biomarkers with significant outcome in the univariate analyses.
Community-scale multivariate analyses including non-metric multidimensional scaling (nMDS), multiresponse permutation procedure (MRPP), and the Dufrêne & Legendre indicator analyses were performed in R [36] using statistical packages vegan [37], ecodist [38], BiodiversityR [39], and labdsv [40].
The multivariate analyses including the need for oxygen, clinical score, SaO2% and age showed that only the risk to stay <5 days decreased in RSV/RV (OR = 0.26[0.09 0.76]95%CI), RV (OR = 0.13[0.03 0.57]95%CI) and hMPV (OR = 0.09[0.01 0.69] 95%CI) compared with RSV bronchiolitis.
In multivariate analyses including both IMT and carotid plaque score in the same models (Table 4), the association of common carotid IMT with CHD becomes nonsignificant (multivariate RR, 1.16, 95% CI, 0.86 1.57), but its association with stroke risk remained significant (RR, 1.48, 95% CI, 1.21 1.80).
Logistic regression was used for multivariate analyses, including the 95% confidence intervals.
In multivariate analyses including all particle factors, the association with silicon remained significant.
Therefore, collinearity may be an inherent problem of multivariate analyses including different hemodynamic variables.
