Exact(4)
A multivariable analysis was performed using logistic regression analysis, and the odds ratio (OR) and confidence intervals (CI) were obtained.
A multivariable analysis was performed using a conditional logistic regression model, and P values <0.05 were considered statistically significant.
For the identification of the factors associated with the prevalence of toothache a multivariable analysis was performed using the Poisson regression analysis with binary outcomes allowing the estimation of the prevalence ratios (PR) and their 95% confidence intervals.
A multivariable analysis was performed using a logistic regression model in order to explore the association of PD-1/PD-L1 expression with patient characteristics (sex, smoke, histology, EGFR, KRAS and ALK).
Similar(56)
Multivariable analysis was performed using a Cox proportional hazards model with an enter procedure.
Multivariable analysis was performed using a stepwise binary logistic regression model and likelihood ratio tests were used to compare different models.
Multivariable analysis was performed using logistic regression analysis with a step-down procedure method, with response considered as independent variable.
Multivariable analysis was performed using simple and multiple linear regressions for corneal endothelial cell counts according to the presence of CMV-DNA in the aqueous humor.
Multivariable analysis was performed using Cox Proportional Hazards.
Multivariable analysis was performed using multiple logistic regression.
Multivariable analysis was performed using backward stepwise method.
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