Set of statistical processes for estimating the relationships among variables.
1Multivariable regression analysis demonstrated a significant treatment effect over time on survival.
2Multivariate regression analysis was used to assess risk factors for this outcome.
3Multivariate logistic regression analysis was used to define risk factors for infection.
4Logistic regression analysis was used to assess factors associated with HIV infection.
5Logistic regression analysis was used to control for differences in baseline characteristics.
6Data were analyzed by way of χ2 tests and multivariable regression analysis.
7Cox regression analysis was used to identify the variables associated with infection.
8Linear regression analysis and sensitivity analysis were used to analyze the data.
9Logistic regression analysis was used to identify independent predictors of 30-day readmission.
10Logistic regression analysis was used to identify independent predictors of pentafecta outcomes.
11Multiple regression analysis was used to identify significant explanatory variables for ETFPT.
12Functional abnormalities remained a significant risk factor in a multiple regression analysis.
13Multiple regression analysis confirmed an independent effect of hemoglobin on proBNP concentrations.
14Multivariable Cox regression analysis was performed, examining the risk factors for recurrence.
15Cox's proportional hazards regression analysis was used to determine the prognostic factors.
16Risk factors of prognosis were estimated by multivariate Cox proportional regression analysis.
Translations for regression analysis