Sentence examples for multivariable regression analyses from inspiring English sources

Multivariable regression analyses were performed to identify factors independently related to NT-proBNP and BNP levels.

Multivariable regression analyses revealed that depression is an independent predictor of RLS.

By multivariable regression analyses, CD8 and CD4 lymphocyte activation were associated significantly with increasing plasma HIV RNA levels.

Multivariable regression analyses revealed that anxiety and depression were significant contributing factors for insomnia among individuals with TTH (Table 3).

Propensity score and multivariable regression analyses were performed to assess the association of fluid management strategy with renal outcomes.

Factors associated with use of PET during the study period were further examined by using logit and linear probability multivariable regression analyses.

Demographic and injury characteristics, unadjusted and risk-adjusted mortality rates, and healthcare resource utilization variables were compared for these three groups using t tests, analysis of variance, and multivariable regression analyses where appropriate.

Multivariable regression analyses were conducted in SAS and estimates were reported with 95% confidence intervals.African-American patients were more likely to be admitted with metastatic disease (24.8%) compared with White patients matched on demographics (17.9%), and demographics+presentation (23.6%).

Further, our study sample was diverse with regards to patients with a history of ACL injury and reconstruction, which allowed for comprehensive multivariable regression analyses between several important variables.

Multivariable regression analyses were performed to further analyze markers of cholesterol metabolism in relation to cIMT.

Multivariable regression analyses were performed using a Cox proportional hazard model.