Sentence examples for bivariate analysis to be from inspiring English sources

Data for all 248 participants were modeled by using predictor variables that had been determined by bivariate analysis to be associated with RVFV seropositivity (Technical Appendix 2).

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.

As seen in Table  3, all factors found in the bivariate analysis to be significantly related with the likelihood of having a DDE in permanent teeth remained significant after adjustment.

In agreement with the majority of reports, other conditions related to demographic and social characteristics of the family (the number of children in the family) or of the environment (daycare attendance) were found in the bivariate analysis to be able to increase the likelihood to be hospitalized for RSV-induced LRTI [ 1, 3, 5– 7, 10, 18, 19, 21].

The selection of variables for multivariate logistic regression was based on a review of literature and on those variables that were found in bivariate analysis to be statistically significantly associated with reporting receiving gifts, favors, or money and paying in exchange for sex.

16, 25, 28 These subgroups had a higher risk of cardiac disease, which is also a known comorbidity in COPD, the only retained criteria in the bivariate analysis being similar to what is found in the literature.

Bivariate analysis will be used to examine relationships between each potential predictor and the outcome(s) of interest.

> -wrap-foot> atignificant at < .0001 bSignificant at ≤ 0.05 The odds ratios for two of the four prenatal predictors that were significant in the bivariate analysis were found to be significantly associated with postpartum depression in the multivariate analysis (Table  3).

In bivariate analysis it seemed to be highly significant but this was no longer true after adjustment.

Except for urban-rural residence, all other variables considered in the bivariate analysis were found to be statistically significantly associated with mode of initial treatment (Tables 1 and 2).

Descriptive statistics and mean scores were used to summarize data, and bivariate analysis was conducted to determine the association of independent variables and community satisfaction.