Sentence examples for bivariate analyses were also from inspiring English sources

Thus, the factors that were found to be significantly related to NFCE in the bivariate analyses were also inter-related.

Bivariate analyses were also performed using the HD genotype data.

Bivariate analyses were also used to examine the effects of each variable on stage at diagnosis.

Bivariate analyses were also used to examine the interrelationships between severity, patient segments, HRQoL, resource use, and work impairment.

Bivariate analyses were also conducted to examine the relationship between the outcome variable and each relevant predictor variable.

Those variables not showing a statistically significant association with the outcome variable in the bivariate analyses were also included in multivariate analysis to detect any apparent non-associations.

In the situation where linear model assumptions were compromised due to the non-parametric distribution of outcome variables, non-parametric bivariate and multivariate analyses were also performed using Spearman correlation and logistic regression analyses respectively.

Bivariate and logistic regression analyses were also conducted to model determinants of males and females having had intercourse within each social-educational group.

Univariate analyses were also conducted (see Table S1 and Table S2) to compare results with the bivariate analyses.

Bivariate and multivariate analyses are also shown in Table  2.

Bivariate analyses were conducted to identify significant associations among variables.