Sentence examples for models and multivariable from inspiring English sources

In a nested case-control study using food diaries, Dahm et al. (2010) discovered that intakes of absolute fiber and fiber intake density were significantly inversely associated with the risk of colorectal cancer in both age-adjusted models and multivariable models that adjusted for age, anthropomorphic and socioeconomic factors, and dietary intakes of folate, alcohol, and energy.

We constructed both univariable models and multivariable models with seasonal smoothers and yearly terms.

We ran minimum adjusted models and multivariable adjusted models for each job strain exposure and cancer outcome pair.

We evaluated the association of PM mass and PM metal component levels with miRNA expression measured in postexposure samples using simple linear regression models and multivariable models.

Then for all observations, we examined the relationship in age-adjusted models and multivariable models using generalized linear mixed models (with logit link) for dichotomized biomarkers (as described below) and with mixed-effects models for continuous biomarkers.

We evaluated whether levels of H3K4me2 and H3K9ac were associated with the levels of personal exposure to metals in inhalable PM, as well as to PM mass, in both simple regression models and multivariable models adjusted for age, BMI, education, pack-years, and percent granulocytes.

This study is expected to promote further applications of integrated water system model and multivariable statistical analysis in the diffuse nutrient studies, and provide a scientific support for the diffuse pollution control and management in China.

Differences in mean BMI were assessed by a general linear model, and multivariable logistic regression was used to predict the risk of diabetes and obesity.

HRs were calculated in SPSS V.20.0 for Windows (SPSS Inc) using the Cox proportional hazards regression model, and multivariable analysis was used to adjust for differences in the demographic structure of the cohorts.

Cox regression models (univariable and multivariable) were used to develop predictor models using all baseline variables.

The output from these models (simple and multivariable with either BMI or age and ASA group included) is shown in Table 8 (Supplementary data).