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All multivariate models controlled for age, education, and marital status.
All multivariate models controlled for demographics, comorbid conditions, and disease-severity proxies listed in the Covariates section.
The multivariate models controlled for the potential confounding effect of antibiotic prescribing, clustering by practice, and other significant individual predictors.
Multivariate models controlled for age and sex, along with number of severe sunburns, and a pigment score.
Except for the unknown factors that might cause non-random errors, our multivariate models controlled for all the known major risk factors, including viral hepatitis B and C, current alcohol drinking and/or cigarette smoking, and increased BMI were found to be independently associated with abnormal elevation of liver transaminase as shown in Tables 2 and 4.
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Craving remained a highly significant predictor in multivariate models controlling for pharmacological intervention, and for methamphetamine use during the prior week.
*Differences in education and employment were not significant in multivariate models controlling for ethnicity.
We constructed multivariate models, controlling for variables related to the outcome or predictor variable.
Other strengths include separate assessment of periventricular, deep WM and perivascular pathology, and the use of multivariate models controlling for MRI-autopsy delay.
In multivariate models controlling for age and tumor characteristics, women using beta-blockers had marked decreases in breast cancer mortality (RR = 0.29, 95% CI = 0.12 to 0.72) and distant recurrence (RR = 0.43, 95% CI = 0.20 to 0.93) [ 21].
No differences in lipid-control medication intake or frequency of cholesterol examination were found across clinical settings; besides, differences in triglycerides and LDL levels are not explained by differences in obesity or caloric intake, given that the multivariate models control for the effect of these variables.
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