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For both univariate and multivariate regression, older age (≥45 years) was statistically significantly associated with higher TB knowledge, and urban residence was statistically significantly associated with lower TB knowledge (see Table 3).
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Multivariate regression analysis revealed that older age, male gender, serum concentrations of glycated albumin, hs-CRP, Lp (a), and creatinine were independent risk factors for CAD development in patients with type 2 diabetes (Tables 2 and 3).
Multivariate regression analysis revealed that older age, higher education, White race/ethnicity, Reserve/Guard status, and working in electronic equipment repair or functional support occupations were independently and consistently associated with both early refusal and early consent.
Multivariate regression analysis was used to identify unique predictors of the variance of LOS.
Multivariate regression reconfirmed only type of admission (P<0.01) and serum albumin level (P=0.013) as predictors of unique variance in LOS.
Multivariate regression is implemented using regression splines (RS).
Multivariate regression analysis.
Multivariate regression models assessed predictors of erythropoietin prescription.
Multivariate regression models examined reported lifetime NSSI.
Multivariate regression analyses were performed.
Using a multivariate regression model, older people were found to run a higher risk of developing PVD than younger people, and women were found to have a higher risk than men (OR, 2.9; 95% CI, 1.5-5.9).
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