Sentence examples for bivariate analysis to adjust from inspiring English sources

Therefore, in bivariate analysis, to adjust for variation in time from start of injecting (and thus time of exposure), all other variables were adjusted for time from start of injecting as a time-updated variable.

Because the bivariate effects of the predictors on the dependent variable were probably confounded by other factors, multiple liner regression analysis was further used to examine the predicting effect of each potential predictor identified in the bivariate analysis to adjust for the effects of other confounding variables.

These variables were adjusted for in the multi-variate model as they were shown on bivariate analysis to be significantly associated with particular shopping patterns.

We performed bivariate analysis to examine associations between bypassing a nearer facility and potential predictors, and multivariate analyses to determine which predictors remained associated with bypass when adjusted for other factors.

We also used bivariate analysis to examine associations with socioeconomic indicators (Table 3).

We used bivariate analysis to estimate odds ratios (ORs) with 95% confidence intervals (CIs).

We used analysis of variance for bivariate analysis to explore associations and potential confounders.

After bivariate analysis to test the hypotheses using Pearson correlation, we performed multiple regression analysis.

The variables shown to be statistically significant in the bivariate analysis were adjusted in the multivariate analysis.

Multivariate analysis using logistic regression was carried out on variables with p- value of less than 0.2 at bivariate to adjust for confounding.

The effect of each independent variable was measured in bivariate analysis adjusting only for age (Model 1), and in multivariate analysis adjusting mutually for age and all socioeconomic and sociodemographic variables (Model 2).