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We used validated measures of key factors and multivariate modeling, but we could not correct for all possibly relevant confounders.
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Admission PRISM score was forced into the multivariate model, but it was not statistically associated with anemia at PICU discharge (p = 0.62).
This was done with the aim of deepening our understanding of the probable causalities and explanatory powers of predictors in multivariate models, but not with the aim of generating a predictive equation [69].
However, the associations weakened in multivariate models, but high waist circumference remained its significance for OIs.
Cells with two dashes indicate that the variable was included in the multivariate model but excluded after the multivariate analysis.
Alcohol consumption was included in the final multivariate model but it was subsequently excluded because it was not statistically significant.
Rate of weight gain was analyzed as a continuous variable in multivariate models but is presented in categories here.
Other variables were added to the multivariate model, but were found not to be significant at the p < 0.2 level.
Ideally, these genetic effects are estimated in a multivariate model, but often the results from single SNP analyses are used in most applications.
We found examples of studies in which GC therapy was included in a multivariate model, but no subsequent GC risk estimate was reported [ 88].
Abatacept treatment pattern at initiation (monotherapy, combination with MTX or combination with other cDMARDs) was entered into the multivariate model but was not found to be significant.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com