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Independent predictors of mortality were identified with multiple logistic and Cox' regression analyses.
Multiple logistic and linear regression analyses were performed to evaluate possible associations between the expression of FAM5C and inflammatory/immunological and microbial factors.
Multiple logistic and linear regression analyses were used.
Statistical analysis included multiple logistic and linear regression.
Exposure-outcome associations were analysed by multiple logistic and linear regression analyses.
Multiple logistic and linear regression models were used to adjust estimates for potential confounders.
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Finally, we investigated the association between FiO2AUC and survival (using unadjusted and multiple logistic regression) and neurological outcome (using unadjusted and multiple ordered logistic regression).
Multivariable analyses for response and PFS utilized a multiple logistic regression and a Cox proportional hazards model, respectively.
Associations between PLT age and outcomes were modelled using multiple logistic regression and linear regression.
The relationship between age, Greene classification, GCS and GOS were evaluated by multiple logistic regression and chi-square test.
Multiple logistic regression and linear regression model were used to evaluate the association between folate and depressive symptoms.
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