Sentence examples for bivariate analyses and the from inspiring English sources

The associations with SES are often reported in simple bivariate analyses, and the results are contradictory.

The statistical packages used were the "Statistica release 6" (StatSoft Corp., Tulsa, OK, USA) for bivariate analyses and the "Stata release 7" (Stata Corporation, College Station, TX, USA) for multivariate analyses.

We used the Mann-Whitney test for bivariate analyses, and the Cronbach's α coefficient of reliability to assess the internal consistency of the CWS, employing data from all items of the CWS.

Results were expressed in bivariate analyses and at the last step of the stepwise procedure as odds ratios (OR) and 95% confidence interval (95% CI).

The results did not change markedly from those of the bivariate analyses and none of the covariables adjusted for were associated with swimming pool attendance.

Bivariate analyses and regressions with the demographic characteristics will determine multicollinearity and correlations with the process and outcome measures.

Race was not significantly associated with poor MTX knowledge in bivariate analyses and, given significant the collinearity of language with LEP, these were not included in the final models.

Statistical significance was set at p < 0.05 for bivariate analyses and was also the criteria for considering variables for regression modeling along with known confounders.

To explore factors associated with the length of hospital stays, the nonparametric analysis of variance (Kruskal Wallis test) was used in the bivariate analyses and a linear regression model in the multivariate analyses (the dependent variable in the model, number of hospital days, was logarithmically transformed to achieve a near-normal distribution).

Marital status was not significantly associated with plans to enter practice in the bivariate analyses and it did not demonstrate significance in the multivariable model.

Therefore, we used the dichotomous form of the variables for ease of interpretation, reporting percentages for the bivariate analyses and odds ratios (OR) and 95% confidence intervals (CI) for the logistic regression models.