Sentence examples for multivariate models determined from inspiring English sources

Multivariate models determined that three covariates wearing gloves, acres treated, and repairing equipment were consistently predictive of exposure (Table 7).

A multivariate model determined the odds ratio for each cancer associated with statin prescriptions adjusted for the potential confounding effects of variables listed above.

By including regressions with and without covariates, we can determine whether multivariate models influence the discrepancy between area-based and household-level variables.

Significance in multivariate models was determined using the likelihood ratio test.

Final, multivariate models were determined using backward selection from all predictors significant in univariate analysis at the p < 0.1 level.

Multivariate models were determined by applying a backward elimination technique to the logistic regression while adjusting for age and town of residence.

Variables' entry into the multivariate models was determined on the hierarchical causality theoretical model, including first the distal characteristics (age, sex, color/race, schooling, income and marital status) and then the intermediate characteristics (chronic diseases, smoking, BMI and common mental disorders).

Logistic regression models determined univariate and multivariate associations with mortality.

We also designed multivariate models to determine whether different factors are associated with vitamin D deficiency in different racial/ethnic groups.

The quantified PSCA/GAPDH ratio was analyzed in both correlation and multivariate models to determine its potential predictive risk factor for BCR (Tables 2 and 3).

All variables were included in the multivariate models to determine which were independently associated with timing of core and non-core foods.