Sentence examples for diabetes was evaluated using from inspiring English sources
The relation between each treatment and new onset diabetes was evaluated using marginal structural models for causal inference, to account for time dependent confounding in treatment assignment.
The cumulative effect of overweight across the life course before reported diabetes was evaluated using the combination of somatotype ≥5 at age 10, BMI ≥25 kg/m at age 18, and BMI ≥25 kg/m at baseline (i.e., to represent adulthood).
Differences in cognitive and metabolic measures between subjects with and without diabetes were evaluated using independent t-tests and subsequent genotypic analyses were performed in diabetics and non-diabetics separately.
Associations of toenail mercury concentrations with incident diabetes were evaluated using Cox proportional hazards, with time at risk from the time of toenail sampling until the first event, death, or censoring at the date of return of the last questionnaire in 2008.
The PPI network among the ROS-diabetes targets was evaluated using MiMI interaction data.
The seasonality of type 1 diabetes incidence throughout the year was evaluated using the Rayleigh test.
The association of diabetes status with stroke symptoms was evaluated using the following classification: 1) any of the six stroke symptoms, 2) each stroke symptom individually, 3) two or more of the six stroke symptoms, and 4) specific stroke symptom clusters that are similar to common clinical presentations (25).
In sex-specific analysis, the strength of association between diabetes and PAD, CAS, and AAA was evaluated using the logistic regression model in model 2. The Wald test was used for testing interaction between the presence of diabetes and sex for the presence of each of the vascular disease subtypes.
Association between the polymorphism and the risk of AAA was evaluated using logistic regression analysis and was adjusted by age, gender, smoking, hypertension, diabetes mellitus, and dyslipidemia.
