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We conducted bivariate analyses to evaluate potential confounders for depression and the use of antidepressants.
We first conducted bivariate analyses to evaluate the association of prenatal BPA concentration and potential covariates with wheeze.
We first conducted bivariate analyses to evaluate the association of interior renovation and potential covariates with B-Pb.
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Bivariate analyses to determine crude odds ratios were used to evaluate the degree of association between independent variables and ABs (verbal, physical and both).
We conducted bivariate analyses to identify any demographic or practice characteristics associated with comfort levels.
Bivariate analyses were performed to evaluate descriptive characteristics of the study participants and to evaluate dependent and independent variables.
First, bivariate analyses were performed to evaluate crude associations between the use of critical pathways and each postoperative outcome.
Bivariate analyses were performed to evaluate the association between outcome variables and each of the dependent variables.
Bivariate analyses were performed to evaluate the variables associated with the diagnosis of LTBI with the two tests employed (TST and T.SPOT.TB).
Bivariate analyses were used to evaluate variables for inclusion in the Cox proportional hazards model; categorical variables were evaluated using the log-rank test, and continuous variables were evaluated using Cox proportional hazards regression [ 16].
Bivariate analyses will then evaluate potential associations between the exposure and outcome variables that are included in the study questionnaire.
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