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The multivariate analyses include a set of Height for Age Z-score (HAZ) determinants that are widely used in the literature.
Multivariate analyses include data on exploratory variables for all HPV subtypes.
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We further conducted multivariate analyses including dietary fiber, water and magnesium simultaneously in order to investigate the independent associations with constipation.
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).
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 data from 56 individuals identified that patients who were both younger than 65 and at least two years postoperative had an adjusted mean activity dimensions summary index (ADSI) 22.9 points higher than patients who were 65 or older and one year postoperative.
Multivariate analyses included proportional hazards regression and binomial logistic regression.
Covariates in their multivariate analyses included sex, race, age, APACHE II score, the presence of shock at baseline, level of positive end-expiratory pressure (PEEP), the PaO2 FiO2 ratio and fluid treatment strategy.
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.
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.
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