<p><sup><b>a</b></sup> Data from imaging measurement.</p><p><sup><b>b</b></sup> Patients who suffer from enormous tumor both in frontal lobe, parietal lobe and temporal lobe are counted repeatedly.</p><p>Multivariate Cox regression analysis of prognostic factors in glioma patients.</p
Aim: To define the independent variables that affect the life spans of patients with glioblastoma mu...
<p>Multivariate analysis of factors associated with survival and progression in all astrocytoma pati...
Purpose: To find the more effective treatment methods that improving thesurvival of patients with gl...
<p><sup><b>a</b></sup> Data from imaging measurement.</p><p><sup><b>b</b></sup> Patients who suffer ...
<p>Multivariate analysis of prognostic factors in patients with glioma using Cox regression.</p
<p>Univariate and Multivariate Analysis of Different Prognostic Parameters for Overall Survival of H...
Background: Prognostic models have been developed to predict survival of patients with newly diagnos...
Background: Prognostic models have been developed to predict survival of patients with newly diagnos...
1<p>Hazard ratio.</p>2<p>Not significant at a 5% risk.</p>3<p>27-gene signature clustering on MPL an...
<p>NOTE. Univariate analysis, Cox proportional hazards regression model. Abbreviations: IICP, increa...
BACKGROUND: Prognostic models have been developed to predict survival of patients with newly diagnos...
Prognostic factor analyses have proven useful in predicting outcome in patients with newly diagnosed...
<p>Hazard ratio and 95% CIs for factors that related to OS (A) and PFS (B) in WHO grade III glioma p...
<p>Univariate and Multivariate Analysis of Different Prognostic Parameters for Overall Survival of A...
Background Because of multiple competing death outcomes and time-varying coefficients, using a Cox r...
Aim: To define the independent variables that affect the life spans of patients with glioblastoma mu...
<p>Multivariate analysis of factors associated with survival and progression in all astrocytoma pati...
Purpose: To find the more effective treatment methods that improving thesurvival of patients with gl...
<p><sup><b>a</b></sup> Data from imaging measurement.</p><p><sup><b>b</b></sup> Patients who suffer ...
<p>Multivariate analysis of prognostic factors in patients with glioma using Cox regression.</p
<p>Univariate and Multivariate Analysis of Different Prognostic Parameters for Overall Survival of H...
Background: Prognostic models have been developed to predict survival of patients with newly diagnos...
Background: Prognostic models have been developed to predict survival of patients with newly diagnos...
1<p>Hazard ratio.</p>2<p>Not significant at a 5% risk.</p>3<p>27-gene signature clustering on MPL an...
<p>NOTE. Univariate analysis, Cox proportional hazards regression model. Abbreviations: IICP, increa...
BACKGROUND: Prognostic models have been developed to predict survival of patients with newly diagnos...
Prognostic factor analyses have proven useful in predicting outcome in patients with newly diagnosed...
<p>Hazard ratio and 95% CIs for factors that related to OS (A) and PFS (B) in WHO grade III glioma p...
<p>Univariate and Multivariate Analysis of Different Prognostic Parameters for Overall Survival of A...
Background Because of multiple competing death outcomes and time-varying coefficients, using a Cox r...
Aim: To define the independent variables that affect the life spans of patients with glioblastoma mu...
<p>Multivariate analysis of factors associated with survival and progression in all astrocytoma pati...
Purpose: To find the more effective treatment methods that improving thesurvival of patients with gl...