Sentence examples for models with serum from inspiring English sources

We ran linear regression models with serum perfluoroalkyl chemical quartiles as the independent variable to examine the mean change in serum uric acid with increasing categories of perfluoroalkyl chemical, taking the lowest perfluoroalkyl chemical quartile as the referent.

In addition, our previous work utilizing this in vitro model, with serum collected from CR rats, was done on a similar rat hepatoma cell line (Fao) and we were interested in mimicking those results using human serum on a human hepatoma cell line.

The propensity score was obtained by performing a logistic regression model with serum potassium ≥5.0 mmol/l as an outcome.

In a multivariate model with serum vitamin D and parathyroid hormone, increasing parathyroid hormone was associated with decreased risk (OR 0.99, 95% CI 0.98-0.9996) (Table  3).

A multivariable logistic regression model with serum 25(OH D concentration as an outcome variable was constructed to control for potential confounding variables.

The independence of hCGβ as a predictor of survival was analyzed by multivariate analysis using the Cox proportional hazard model with serum hCGβ, nuclear grade and stage as input variables.

Other approaches reported in the literature include the use of a log-linear model with serum lipids included as a separate term in the regression equation (Moysich et al. 1998).

Adding a squared term for serum 25OHD to the model with serum 25OHD, age, season, and latitude did not significantly improve the prediction for diabetes incidence (likelihood ratio P = 0.24), which indicates that the relationship between 25OHD and diabetes incidence was linear.

Prior to the SNP association analysis, the effect of age and case-control status on serum YKL-40 was tested using a multiple linear regression model, with serum YKL-40 as dependent variable and case-control status and a non-linear function of age included as covariate.

Therefore, we constructed the models combined with serum ferritin.

The use of wet weight serum PCB concentrations (e.g. ng/g serum) in multivariate regression models with adjustment for serum lipids as a covariate was shown to be least prone to bias in a large simulation study [ 5].