Sentence examples for multivariable setting using from inspiring English sources
The hazard of death was assessed in the multivariable setting using Cox proportional hazards regression modelling with variable reduction by backward elimination.
This leads to a generalization of a theorem of Davis and Foiaş, to multivariable setting.
Several classical results from complex analysis have free analogues in our noncommutative multivariable setting.
The nature of the association was evaluated, initially in the univariable setting, and then in the multivariable setting with adjustment for potential confounding baseline factors including tamoxifen treatment, BMI, history of osteoporosis, cigarette smoking, and exogenous hormone use.
Variables that did not meet the criteria for inclusion in the multivariable model but were of particular interest a priori (e.g., contraceptive use at conception, maternal smoking in the first trimester) we added to the final model individually for evaluation in the multivariable setting.
Multivariable analysis using logistic regression analysis was used to determine independent predictors of mortality.
Selected variables were further introduced in multivariable analyses using a hierarchical model with two random effects.
We repeated the multivariable analysis using dichotomous MARS scores.
We developed multivariable models using a difference-in-difference parameterisation.
In multivariable analyses, we used 4 models.
