1
The Cox proportional hazards model was used to identify independent prognostic factors.
2
A Cox proportional hazards model was used to identify independent prognostic factors.
3
In selected cases with adverse prognostic factors immediate cystectomy should be considered.
4
Stepwise multivariable Cox regression method was used to evaluate independent prognostic factors.
5
Multivariate analysis was done in order to focus on the prognostic factors.
6
We evaluated prognostic factors including relapse treatment in patients with recurrent RMA.
7
Two-step multivariate analysis was performed to identify the significantly important prognostic factors.
8
Cox proportional hazards models were used to identify prognostic factors for survival.
9
In multivariate analysis, age, sex, and surgical treatment were favorable prognostic factors.
10
Cox's proportional hazards regression analysis was used to determine the prognostic factors.
11
Multivariate analysis identified positive RM as one of the independent prognostic factors.
12
Independent prognostic factors were investigated using the Cox proportional hazards regression model.
13
Nodal involvement, response to chemotherapy, and RT dose were important prognostic factors.
14
Differences were estimated with adjustment for known prognostic factors using propensity scores.
15
Multivariate analysis demonstrated that tumor grade and STAT5B were independent prognostic factors.
16
Tumor size of 5 cm, SMI, and MAI were independent prognostic factors.
