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In the multivariate model, there was a significant positive association between di- ortho PCB exposure and birth weight (Table 3).
After adjusting for acculturation and other covariates in our multivariate model, there was no association between Latina ethnicity and walking.
After adjusting for age, T-stage, N-stage, and grade in a multivariate model, there was a trend for a better response in BRCA1-mutated tumours (P=0.08).
For the final multivariate model, there were 5,473 subjects with complete data on all maternal and fetal characteristics (Online Resource 1, Figure S1).
In the multivariate model, there were no barriers significantly explaining differences in the percentage of patients currently or previously receiving an ACE-I.
In this multivariate model, there was no evidence of increased risk for recurrence in patients with lower hemoglobin levels receiving fidaxomicin (P = .96).96
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In order for results to be revealed by either univariate or multivariate models, there needs to be more data for tests in the future.
In multivariate models, there were significant differences in levels of diabetes by race and BMI (Fig. 2 A ).
Although we did adjust for age in our multivariate models, there may be some component of relative youth that we are unable to control for that is contributing to the lower mortality among South Asians.
When considered in multivariate models, there was strong confounding and collinearity between these variables but only species combinations of beef cattle with dairy cattle (Likelihood ratio test p-value <0.001, AIC = 1558.9), and dairy cattle with sheep (p = 0.005, AIC = 1566.6) provided biologically meaningful results.
Factors that were associated with these outcomes at a p value ≤0.1 were included in the multivariate model; when there was a high collinearity between factors (correlation coefficient >0.4), only one factor was entered into the model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com