Sentence examples for backward logistic regression model from inspiring English sources

Statistically significant (p<0.05) variables were included in a conditional backward logistic regression model.

Variables found by the univariate analysis to be statistically significant (p<0.05) were included in a conditional backward logistic regression model.

All factors were included in a backward logistic regression model.

We used a stepwise backward logistic regression model exploring the individual strength of the possible predictors.

Predictors of in-hospital mortality were identified in a multivariate stepwise backward logistic regression model.

Variables with a p-value ≤0.2 on univariate analyses were included in a backward logistic regression model for each domain.

Relationships between IDE and hospital readmission were analyzed with stepwise backward logistic regression models.

Backward logistic regression models included all variables with a p value < 0.25 in the univariate analysis (Chi square test).

The association between the mode of birth and the key variables 'attendance of midwives' and 'workload of midwives' was assessed using backward logistic regression models.

To assess the predictive power of the above backward logistic regression models, classification rate, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were computed.

Backward logistic regression models were designed to assess factors independently associated with MDRO carriage on admission and MDRO acquisition within ICUs.