Sentence examples for bivariate analyses exploring the from inspiring English sources

Table 2 shows bivariate analyses exploring the association of individual characteristics and intervention and contextual variables with outcomes of interest.

The results of bivariate analyses exploring the association between subscales scores and mammography screening in the prior 15 months are shown in table 4. Perceived barriers had significantly lower scores among women who had received a mammogram in the prior 15 months (p < 0.001).

Bivariate analyses exploring how breastfeeding behaviors and colustrum LC-PUFA profiles were related to either child cognition or to genetic variants used χ2-tests for categorical data and Krukall-Wallis tests for continuous data.

Bivariate analyses explored whether there were differences in the characteristics of children lost to follow-up versus those who participated in both rounds: no differences were found with respect to children's age, orphan status, whether they lived with a biological parent, had an ill household member, or type of community (rural, peri-urban).

Bivariate chi-squared analyses exploring the relationship between all of the demographic, preoperative, and surgical characteristics and postoperative septicemia revealed significant associations for all characteristics except varices, angina, and pregnancy.

Bivariate heritability analyses explore the genetic correlation (rg) between traits, which gives the proportion of variance that two traits share due to common genetic factors.

Correlational analyses explored the bivariate association between quality of life and the other variables, and their size interpreted according to Cohen's criteria [ 50] (0.1 small; 0.3 medium; 0.5 large).

We first conducted bivariate analyses to explore the associations of race and other sociodemographic factors with the outcomes.

Bivariate analyses were explored using Chi-2 tests and a p-value of p < 0.05 was considered statistically significant.

Further research in larger samples would allow bivariate GREML analyses to explore the degree to which psychotic experiences show genetic overlap with each other and with related phenotypes in psychopathology.

Among women with births since the launch of the intervention, bivariate analyses were performed to explore the association of intervention exposure, contextual factors, and sociodemographic factors with (1) use of ANC (at least four visits); (2) institutional delivery; and (3) care-seeking for complications during pregnancy, childbirth and post-partum (see Figure 2).