The Cox proportional multivariate hazard model revealed that higher pre-treatment NLR was independently correlated with poor DFS and OS, with hazard ratio 5.15 (95% confidence interval [CI] 1.11-23.88, p = 0.03) and 6.16 (95% CI 1.54-24.66, p = 0.01) respectively.
Cox proportional univariate and multivariate hazard models were used to estimate the impact of phosphorylated FBXO28 on OS, BSS and RFS adjusting for patient age, tumour size, ER status, nodal status, HER2 and Nottingham histological grade (NHG).
All significant univariate predictors were included in the multivariate proportional hazards model.
Independent predictive factors affecting survival were analyzed by the Cox multivariate proportional hazards model.
The Cox multivariate proportional hazards model was used to examine the role of prognostic factors on ethnic survival.
Only those variables found to be significant on univariate analysis were included in a multivariate proportional hazards model.
Survival between groups was compared using the Kaplan-Meier life-table method and a Cox multivariate proportional hazards model.
Multivariate Cox regression analysis was used to generate multivariate proportional hazards models based on times to events as stated in the results.
Next we assessed time-to-screening by multivariate proportional hazards models.
Cox multivariate proportional hazards models were used to explore the association of variables with DFS.
