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However, these relationships, while significant in bivariate analyses were not significant for either men or women when sex trading for either drugs or money, or both, was used in a mediation model.
Since factors that significantly differed between groups in the bivariate analyses were not completely reliable in predicting treatment outcome when used independently, we developed predictive models that included a combination of variables.
Bivariate analyses were not possible for the Bayesian model averaging methods with the available software.
Variables that were not significant at the 0.20 level in the bivariate analyses were not included.
Since standard errors were not computable for factor 4 (superstitions factor containing miscellaneous items), bivariate analyses were not conducted between this factor and the other variables.
The multivariate analyses showed that there was in fact a statistically significant effect of all three disorders, meaning that the results from the bivariate analyses were not just a result of baseline-comorbidity.
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Oophorectomy, which was significantly associated with LOS in the bivariate analyses, was not retained in the model since it was also associated with the abdominal approach, resulting in collinearity between the two variables.
+ Bivariate associations for variables that were not to be included in the multivariable analyses were not computed.
Bivariate analyses were conducted to examine whether or not there was a difference between patients with GAD and non-GAD controls for demographics, patient characteristics, work productivity impairment, and resource use.
Bivariate analyses were performed using the Fisher exact test.
Bivariate analyses were used to examine the differences between women with and without VWD.
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