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Behavioral and microbiologic associations were screened by bivariate analysis.
Descriptive statistics and bivariate analysis were used to assess the data.
Data were analyzed by analysis of variance, bivariate analysis, and regression analysis.
Table 2 shows results for bivariate analysis of association between socioeconomic characteristics and child malnutrition.
The next section provides information about the survey and provides a bivariate analysis.
As reported in the bivariate analysis, effort in turn predicts student competence.
A bivariate analysis was performed, using Chi2, ROC curve and relative risk.
For bivariate analysis, we included the trait TG as well.
In the bivariate analysis, the sire covariance was constrained to zero.
In bivariate analysis, GG homozygosity was associated with a prior history of revascularization (p = 0.04).
The bivariate analysis shows that all covariates are significantly associated with the risk of parasitaemia.
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