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When controlling for covariates, factors that were significant at the bivariate level were adjusted for in the model.
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Perhaps the levels were adjusted.
Significance levels were adjusted using FDR corrections.
and levels were adjusted.
Image levels were adjusted identically.
All variables significant at the bivariate level were considered for a logistic regression model.
Logistic regression for S-ECC including variables associated at the bivariate level was also performed.
Variables associated with CSE behaviour at the bivariate level are presented in Table 3.
The variables shown to be statistically significant in the bivariate analysis were adjusted in the multivariate analysis.
During bivariate analysis, prevalences were adjusted for age and gender by weighting according to population data [20] since these were likely to be influencing factors.
Plasma TNF-α data were adjusted in bivariate Cox models including TNF-α and each risk factor listed.
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