1Multivariate logistic regression analysis was used to define risk factors for infection.
2Multivariable logistic regression analysis was used to identify predictors of 30-day mortality.
3Associations between diseases and exposures were studied using multiple logistic regression analysis.
4Cox regression models and logistic regression analysis were used for statistical analyses.
5Univariate and subsequent logistic regression analysis with bootstrap resampling have been used.
6Results from this were collated for statistical multiplexing using logistic regression analysis.
7Groups were compared by using weighted chi-square tests and logistic regression analysis.
8Then a diagnostic model was developed based on the logistic regression analysis.
9Multiple logistic regression analysis was performed to identify anti-HDV positivity independent predictors.
10A multivariate logistic regression analysis was performed to analyze adjusted in-hospital mortality.
11Tumor size was the strongest predictor of conversion on logistic regression analysis.
12A binary logistic regression analysis was performed to detect predictors for SMOTs.
13The forecast and actual 6-month outcomes were compared by logistic regression analysis.
14Determinants of malnutrition were entered into a multivariate logistic regression analysis model.
15Predictors of blood pressure control were assessed using multiple logistic regression analysis.
16Multivariable logistic regression analysis was performed to identify predictors of graft failure.