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So all the variables included in the bivariate analysis were also included in multivariate linear regression.
All variables associated in bivariate analysis were also associated in multivariate models, except for the age of the child.
All variables associated (at significance level of 0.05) with the dependent variable under consideration in the bivariate analysis were also entered to multiple logistic regressions.
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A bivariate analysis was also performed using single-step methodology for mastitis and SCS.
Passive exposure to tobacco smoke in non-smokers in a bivariate analysis was also associated with tuberculosis.
Bivariate analysis was also used to estimate the genetic correlation between bite marks on each part of the body, and to estimate the genetic correlation between bite marks and body weight.
Analyses of variance, and linear bivariate and multiple regression analysis were also performed.
Bivariate (inferential) analysis was also done.
A bivariate single-step analysis was also performed using HD genotype data.
Bivariate linear correlation analysis was also performed to analyze the relationship of Piwi-like mRNA expression with clinical factors.
Univariate and bivariate analysis were performed as appropriate.
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