Multivariate logistic regression models were used in the analysis.

Multivariable logistic regression was used to obtain independent predictors of EBF.

Multivariable logistic regression analysis was utilized to determine the independent predictors of readmission within 30 days after surgery.

Multivariate logistic regression was used to identify predictors of 30-day readmission.

We used multivariable logistic regression to determine factors at the index admission that were predictive of readmission within 30 days.

However, a multivariate logistic regression was performed using survey respondent data only.

Multivariate logistic regression was done to identify independent predictors of mortality.

They analysed the data appropriately using a technique called multivariate logistic regression analysis.

Five of the studies used multivariate logistic regression models to account for these confounders.

Multivariate logistic regression was used to determine factors independently associated with complete mental health.

Multivariable logistic regression analysis was performed to assess which variables are related to discussing prognosis.

Multivariate logistic regression models were used to investigate the associations with socio-demographic and physical activity correlates.

Multinomial logistic regressions were used to relate physical activity with socio-demographic characteristics.

We used multivariate logistic regression to model the relationship between these factors and measures of well-being.

Weighted multivariate logistic regression analyses were performed to identify factors that independently predicted support for each of these strategies.