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Genetic selection gradients were obtained by bivariate analysis (to reduce the bias in the estimation, see [ 9, 12]), as the genetic covariance between the trait and fitness divided by the genetic variance of the trait, for the traits estimated in the two experiments.
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We also used bivariate analysis to examine associations with socioeconomic indicators (Table 3).
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We used analysis of variance for bivariate analysis to explore associations and potential confounders.
After bivariate analysis to test the hypotheses using Pearson correlation, we performed multiple regression analysis.
We used univariate and bivariate analyses to describe the magnitude and pattern of abuse in the sample and bivariate analysis to identify risk factors for abuse.
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We first performed bivariate analysis to determine parental and pregnancy characteristics associated with birth outcomes.
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