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Survival analysis using <t> Cox proportional-hazards </t> regression analysis of risk factors in relation to RORs immunostaining in human melanomas adjusted for Breslow thickness (A) and overall stage (B)
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Treatment effect estimates (chemoimmunotherapy versus chemotherapy) with continuous BMI by the method of <t>Multivariate</t> <t>Fractional</t> <t>Polynomial</t> Interaction with Cox proportional-hazard regression models stratified by trial for overall survival ( a ) and progression-free survival ( b ). The shaded area is the 95% CIs of the treatment effect estimated as hazard ratios (HRs) (black solid line). Vertical dotted lines mark the 5 th and 95 th percentile of BMI distribution of the pooled analysis cohort, at 19.8 kg/m 2 and 34.7 kg/m 2 respectively
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Treatment effect estimates (chemoimmunotherapy versus chemotherapy) with continuous BMI by the method of <t>Multivariate</t> <t>Fractional</t> <t>Polynomial</t> Interaction with Cox proportional-hazard regression models stratified by trial for overall survival ( a ) and progression-free survival ( b ). The shaded area is the 95% CIs of the treatment effect estimated as hazard ratios (HRs) (black solid line). Vertical dotted lines mark the 5 th and 95 th percentile of BMI distribution of the pooled analysis cohort, at 19.8 kg/m 2 and 34.7 kg/m 2 respectively
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Nomogram for local control at 5 years after RT derived from the <t>Cox</t> <t>proportional</t> <t>hazard</t> <t>regression</t> <t>model</t> with GTVT and HDPTV D99% as variables.
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Image Search Results


Survival analysis using  Cox proportional-hazards  regression analysis of risk factors in relation to RORs immunostaining in human melanomas adjusted for Breslow thickness (A) and overall stage (B)

Journal: Oncotarget

Article Title: RORα and RORγ expression inversely correlates with human melanoma progression

doi: 10.18632/oncotarget.11211

Figure Lengend Snippet: Survival analysis using Cox proportional-hazards regression analysis of risk factors in relation to RORs immunostaining in human melanomas adjusted for Breslow thickness (A) and overall stage (B)

Article Snippet: For analysis of survival after adjustment of Breslow thickness and overall stage the Cox proportional-hazards regression analysis was performed using NCSS10 (NCSS, LLC, Kaysville, Utah, USA).

Techniques: Immunostaining

Treatment effect estimates (chemoimmunotherapy versus chemotherapy) with continuous BMI by the method of Multivariate Fractional Polynomial Interaction with Cox proportional-hazard regression models stratified by trial for overall survival ( a ) and progression-free survival ( b ). The shaded area is the 95% CIs of the treatment effect estimated as hazard ratios (HRs) (black solid line). Vertical dotted lines mark the 5 th and 95 th percentile of BMI distribution of the pooled analysis cohort, at 19.8 kg/m 2 and 34.7 kg/m 2 respectively

Journal: BMC Cancer

Article Title: A lack of association between BMI and chemoimmunotherapy efficacy in advanced non-small cell lung cancer: Secondary analysis of the IMpower150 and IMpower130 clinical trials

doi: 10.1186/s12885-024-12132-w

Figure Lengend Snippet: Treatment effect estimates (chemoimmunotherapy versus chemotherapy) with continuous BMI by the method of Multivariate Fractional Polynomial Interaction with Cox proportional-hazard regression models stratified by trial for overall survival ( a ) and progression-free survival ( b ). The shaded area is the 95% CIs of the treatment effect estimated as hazard ratios (HRs) (black solid line). Vertical dotted lines mark the 5 th and 95 th percentile of BMI distribution of the pooled analysis cohort, at 19.8 kg/m 2 and 34.7 kg/m 2 respectively

Article Snippet: Continuous BMI was modelled in stratified (by RCT) Cox proportional hazards regression by the method of (Multivariable) Fractional Polynomial Interaction (MFPI) [ ].

Techniques:

Nomogram for local control at 5 years after RT derived from the Cox proportional hazard regression model with GTVT and HDPTV D99% as variables.

Journal: Frontiers in Oncology

Article Title: Role of IMRT/VMAT-Based Dose and Volume Parameters in Predicting 5-Year Local Control and Survival in Nasopharyngeal Cancer Patients

doi: 10.3389/fonc.2020.518110

Figure Lengend Snippet: Nomogram for local control at 5 years after RT derived from the Cox proportional hazard regression model with GTVT and HDPTV D99% as variables.

Article Snippet: Finally, a nomogram was computed starting from the Cox proportional hazard regression model. All statistical analyses were performed in the KNIME environment (KNIME GmbH, Germany) coupled to R software ( www.r-project.org ).

Techniques: Control, Derivative Assay