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Table 3 presents a comparative analysis between bivariate and multivariate analyses of key indicators previously described.
Utility estimates were then calculated and compared using bivariate and multivariate analyses.
Additionally, the metrics of univariate, bivariate, and multivariate analyses in this study are significantly correlated.
Further, the bivariate and multivariate analyses in our study confirm similar associations.
Risk factors associated with prevalence, onset and persistence were compared using both bivariate and multivariate analyses.
Three levels of analysis (univariate, bivariate and multivariate) were employed in this study.
Bivariate and multivariate analyses were used to study the association between the periodontal diseases and adverse pregnancy outcomes.
Associated risk factors will be measured by bivariate and multivariate analyses with power of study of 80% and p value of 0.05.
For study IV, bivariate and multivariate analyses were used to determine factors associated with outcome.
In this study both Bivariate and multivariate analysis showed that there was no statistically significant association between depression and age category, religion, ethnicity, substance use and employment status.
Pseudomembranous candidiasis (PC) and erythematous (EC) candidiasis, angular cheilitis (AC), and denture stomatitis (DS) were studied, and bivariate and multivariate regression analyses were performed.
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