Univariate and stepwise multivariate Cox regression were used for feature selection. A nomogram for 1-, 3-, and 5-year postoperative survival rates was constructed accordingly. Performance assessment included Harrell's concordance index (C-index), receiver operating characteristic (ROC) curves and ...
F Forest plot shows the results of multivariate Cox regression with responseScore and various clinical factors as variables in TCGA-BLCA dataset. G Nomogram constructed based on responseScore and various clinical factors in TCGA-BLCA dataset. H ROC curve of nomogram for predicting 1, 3, and 5-...
In a multivariable Cox regression analysis, HMW VWF multimer deficiency was a predictor of all-cause mortality (HR: 3.02 [95% CI: 1.31鈥 6.96], p = 0.009) in the entire cohort. This association was driven by higher mortality rates in the AVR group (multivariable-adjusted HR: 9.4; 95% ...
Hypoxic status in GBM correlates with mesenchymal subtype risk factors.A-BCox regression results on overall survival (OS) time in the TCGA-GBM and CGGA-GBM, stratified by tumor subtype. The forest plot shows the hazard ratios (HRs) and their 95% confidence intervals (CIs) for each subtype. ...
MPIS was computed for each patient through a linear combination of these feature values, weighted by the corresponding regression coefficients. The median value (-0.061) of MPIS in the discovery set was taken as the cut-off for stratifying patients. As shown in Fig. 2, we quantified and ...
Additive joints effects and 95% CIs were assessed using the synergy index [18] while multiplicative interactions were examined by including the appropriate interaction term in the multivariate logistic regression models [19]. Survival curves were generated using Kaplan-Meier methods while Cox proportional...
The multivariable Cox regression model confirmed these results. In the homogeneous sub-population of intermediate-risk, patients with KIT-mutated GIST, the presence of nVAF >50% was statistically associated with higher disease recurrence.Conclusion In our study, we demonstrated that higher nVAF levels ...
Cox proportional hazard regression model including as a factor and (d) gastric cancer according to each aetiological factor in the constructed multi-factor weighted Cox proportional hazard regression model and estimating an individual's probability of developing gastric cancer based on the risk estimate....
Multivariable-adjusted Cox regression models were used to generate hazard ratios (HR) and 95% confidence intervals (Table 1).Results: The mean (SD) for age was 62 (10) yrs. Median (IQR) for HGF level was 950 (758-1086); 53% were women. Over a median follow-up of 14 years there ...
Finally, a correction model is built using two methods, namely, interpolation and regression, to assess the influence of the correction model on the MF model. To evaluate the MF model performance, several test problems are applied, and the root mean square error of each model is estimated as...