Sentence examples for multivariate models adjusting from inspiring English sources

To some degree, these factors may reflect lack of literacy regarding clinical trials and/or acupuncture; however, in multivariate models adjusting for these barriers, education was still highly associated with minimal change in adjusted odds ratio.

METHODS: We compared presurgery symptoms and treatment outcomes between patients with and without diabetes using univariate and multivariate models, adjusting for demographics and comorbidities.

In multivariate models adjusting for duration of diabetes, systolic blood pressure, cigarette smoking, serum glucose, Cerebrovascular Risk Factor Scale, Cumulative Illness Rating Scale, and retinopathy levels, this relationship remained significant for retinal arterioles (p =.02) but not for retinal venules (p =.10).

In addition, the interaction of both polymorphisms remained statistically significant in multivariate models adjusting for clinical prognostic factors.

There was no significant trend in multivariate models adjusting for other covariates (p for trends > 0.53) (Table 5).

We also made multivariate models adjusting for age, civil status, educational level, COCs use, hormone use, family history of gynaecological cancer, physical activity, and BMI.

All multivariate models adjusted for age, religion and education level.

From multivariate models adjusted odds ratio (AOR) and 95% CI were calculated.

Significant associations were then studied using multivariate models adjusted for age, gender, job and department type.

Third, the multivariate models adjusted for clustering or correlation of responses within the same facility [ 20].

In case of unbalanced characteristics, multivariate models adjusted for baseline characteristics will be performed.