Sentence examples for multivariable analyses indicated from inspiring English sources

Univariable and multivariable analyses indicated that headache aggravation by movement is an independent predictor of RLS among participants with TTH (Table 3).

For fibrinogen, initial associations with incident CHD in people with type 2 diabetes have been shown, but multivariable analyses indicated these findings were non-significant [ 4, 11, 12].

Multivariable analyses indicated no significant interactions between PIH and five of the seven SNPs tested (Table  4); however, two of the seven SNPs were associated with PIH.

In an evaluation of 6,346 patients with rheumatoid arthritis who were followed semi-annually across 11 long-running databases, results of multivariable analyses indicated that younger age, lower levels of education, and non-Caucasian race predicted attrition (23).

After adjustment for covariates, multivariable analyses indicated workers with work-related injuries compared to those injured in a non-work setting, were at increased risk of poor outcomes although this relationship was statistically significant for only three of the ten outcomes.

Multivariable analyses indicated that children born to mothers with no formal education was significantly associated with mortality across all four age ranges (adjusted HR=1.30, 95% CI 1.01 to 1.66 for postneonatal; HR=1.38, 95% CI 1.11 to 1.84 for infant; HR=2.13, 95% CI 1.56 to 2.89 for child; HR=1.19, 95% CI 1.02 to 1.41 for under-5).

Results from the univariable and the multivariable analyses indicate that birth weight might be associated with occurrence of melanoma, also when other possible confounders, such as gender, place of birth and parental age were included in the model.

Additional subgroup univariable and multivariable analyses indicate that low HDL cholesterol was associated with increased cancer risk only among those who did not use metformin but not among those who did (power = 0.37) (Table 2).

The results from our multivariable analyses indicate that the association between body mass index and patient delay is not explained by differences in health behaviour (as measured in our study), social class or education.

The multivariable regression analyses indicated a statistically significant association between exposure to BPA and propyl-PB and the risk of malformations [adjusted odd ratio (95% CIs) in the third tertile of exposure: 7.2 (1.5–35.5) and 6.4 (1.2–35.5) for BPA and propyl-PB, respectively].

The multivariable-adjusted analyses indicated a fairly large impact of DNA methylation in the selected sites on birth weight, for one percent-unit increment in DNA methylation; this would correspond to a decrease in birth weight of 7 g to 46 g.