Sentence examples similar to a logistic regression model with multiple variables from inspiring English sources

To adjust for multiple variables we used a logistic regression model with IFN-γ tests and TST results as the outcomes.

These variables were entered into a multiple logistic regression model, with the least significant variable being removed in a stepwise manner until no variables remained.

Return success was statistically analyzed using a multiple logistic regression model with the five independent variables outlined above.

Pain relief was analyzed using a multiple logistic regression model with treatment as an explanatory variable.

Variables defined by discriminant analysis were entered as predictors in a multiple logistic regression model with outcome as the dependent variable (Table 3).

A multiple logistic regression model with survival as the binary outcome variable, using a forward entry conditional model, was then performed.

Clinical variables were dichotomized for robustness and ease of interpretation, univariately screened using nominal α = 0.05, and all-subsets selection was used to build a clinical-only logistic regression model with the number of variables selected via CV.

Trend of association was assessed by a logistic regression model assigning scores to the levels of the independent variable.

A logistic regression model including treatment and baseline in the model was used for categorical secondary efficacy variables.

Variables showing significant association with breastfeeding were entered into a stepwise multiple logistic regression model with partly or exclusive breastfeeding (yes/no) as the dependent variable.

Multiple logistic regression model with secondary outcomes as the dependent variable.