Sentence examples for models after controlling from inspiring English sources

Regression coefficients of these exposure biomarkers except bisphenol A remained significantly in the multiple regression models after controlling for age, sex, weight, smoking, and exercise for at least one of the two oxidative stress biomarkers (P < 0.05).

Third, the associations between FISH markers and cancer status were assessed individually and in multiplicity models after controlling for clinical and biological parameters, such as smoking status and histology grade, using multiple logistic regression.

However, in multivariate time-varying Cox models, after controlling for immune and virologic parameters over time and non-PCP fungal infections, baseline CD4+ T-cell count, CD4+ percentage, and HIV RNA levels were predictors of IRIS, consistent with previous research [7], [12], [21].

* p < 0.05; † p < 0.01; ‡ p < 0.001 P values were obtained from GEE models, after controlling for time.

VAT showed little independent association with 2-h glucose or IGT in our models after controlling for upper trunk and leg SAT.

In adjusted models, after controlling for housing age, soil lead remained significantly associated with interior lead levels above the HUD/U.S. EPA health-based standards (Table 3).

The effect was similar in direction and magnitude in the final model after controlling for additional antenatal factors (OR, 0.82; 95% CI, 0.65 to 1.04 P: =.1.04 P

In the multivariate analysis, temporal trends in efficacy were assessed by using a Cox regression model after controlling for known risk factors such as age, parasitaemia at baseline, and mixed parasite infection.

The data were tested with a mixed regression model after controlling the clustering effect of students in classes.

However, being female was not a significant variable in the regression model after controlling other variables (AOR = 0.83, p = 0.351).

No provider variables were significantly associated with assessment practices in the final model after controlling for patient and consultation factors.