1
These observations were confirmed by multivariate cox regression models.
2
Multivariate Cox regression revealed no added value of histopathology versus PET results.
3
Risk factors of prognosis were estimated by multivariate Cox proportional regression analysis.
4
Survival analyses included log-rank tests and multivariate Cox models, incorporating well-established prognosticators.
5
Multivariate Cox regression analyses were performed to identify independent factors influencing QFS.
6
Poor prognostic factors were identified by univariate and multivariate Cox regression analysis.
7
Multivariate Cox analysis was used to establish an 8-lncRNA signature with prognostic value.
8
Multivariate Cox proportional hazards regression models were used for data analysis.
9
In the multivariate Cox analysis, RBV ranges remained independent and significant outcome predictors.
10
The risk of stroke was studied using univariate and multivariate Cox regression models.
11
Independent predictors of survival were determined using multivariate Cox regression modeling.
12
Nomograms were constructed with basis from a multivariate Cox regression analysis.
13
We performed Kaplan-Meier survival curves and univariate and multivariate Cox regression model analyses.
14
Histology-by-treatment interaction was tested with an unstratified multivariate Cox regression model.
15
A CT-based radiomic signature for PFS prediction was obtained using multivariate Cox regression.
16
Predictors were compared using univariate and multivariate Cox proportional hazards modeling.
