Multivariable regression analysis demonstrated a significant treatment effect over time on survival.

Multivariate regression analysis was used to assess risk factors for this outcome.

Multivariate logistic regression analysis was used to define risk factors for infection.

Logistic regression analysis was used to assess factors associated with HIV infection.

Logistic regression analysis was used to control for differences in baseline characteristics.

Data were analyzed by way of χ2 tests and multivariable regression analysis.

Cox regression analysis was used to identify the variables associated with infection.

Linear regression analysis and sensitivity analysis were used to analyze the data.

Logistic regression analysis was used to identify independent predictors of 30-day readmission.

Logistic regression analysis was used to identify independent predictors of pentafecta outcomes.

Multiple regression analysis was used to identify significant explanatory variables for ETFPT.

Functional abnormalities remained a significant risk factor in a multiple regression analysis.

Multiple regression analysis confirmed an independent effect of hemoglobin on proBNP concentrations.

Multivariable Cox regression analysis was performed, examining the risk factors for recurrence.

Cox's proportional hazards regression analysis was used to determine the prognostic factors.

Risk factors of prognosis were estimated by multivariate Cox proportional regression analysis.