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