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It is clear from the data that the strongest association with blood pressure from all the anthropometric measurements is the gain in abdominal circumference; however, we acknowledge that when building a multivariate regression model of best fit, there is an element of chance as to which variables are included, even when they are not highly correlated.
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The predictive factors with an OR where the confidence interval did not include 1 in the bivariate analysis were taken into account and entered into an analysis for the purpose of building a multivariate logistic regression model in order to calculate the OR adjusted to the predictive factors of the cohort.
build a univariate regression for each independent variable, build a multivariate regression model including all variables with p < 0.05.
These variables were then used for building a multivariate logistic model.
Additional, explorative statistical data analysis was done on CIMT progression building a linear multivariate regression model.
Additional, explorative statistical data analysis was done building a linear multivariate regression model on the progression of CIMT.
The extent to which the two building blocks of the styryl molecules were associated with the various measured image features was calculated using a multivariate regression approach [29].
A multivariate regression analysis was carried out in this paper.
The problem can be stated as a multivariate regression problem.
A multivariate regression model was developed to determine the independent correlates with PPSE.
Covariates were assessed univariately, followed by a multivariate regression.
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