Sentence examples for adjustments for confounding predictors from inspiring English sources

The factors associated with sputum conversion, relapse and treatment success without relapse were retrospectively evaluated after adjustments for confounding predictors.

In this study, we evaluated the significance of environmental exposures on the response to the standard three-drug treatment in patients with pulmonary MAC disease after adjustments for confounding predictors of microbiological responses.

This association remains statistically significant, even after adjustments for confounding variables in multivariate regression analysis.

Despite adjustments for confounding through multivariate techniques incorporating covariates and propensity adjustment, residual confounding from unobserved or unmeasured confounders cannot be excluded.

The relationship between reduced salivary flow rate during the follow-up period and its predictors was evaluated after adjustment for confounding factors.

Multivariate Cox proportional hazard regression analysis revealed that both H-FABP and hsTnT were independent predictors of MACCEs after adjustment for confounding factors.

AGE level remained a strong predictor of survival, even after adjustment for confounding factors, including C-reactive protein.

In general, adjustment for confounding with an imperfect measure of that confounder leads to the possibility of residual confounding.

Glycemic exposure also emerged as a consistently strong, negative predictor of follow-up lung function after adjustment for confounding variables, leading the authors to conclude that reduced lung volume and airflow limitations might be complications of type 2 diabetes.

Bayesian model averaging [26, 27] has been proposed to handle the skewness of cost variables or for the selection of important predictors, respectively, but simultaneous handling of skewness, heteroscedasticity and adjustment for confounding factors can be challenging.

After adjustment for confounding variables using multivariate analysis, timing of presentation was not an independent predictor of mortality (HR 1.04 95% CI 0.78 to 1.39).