cox proportional hazard regression analyses Search Results


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RStudio cox-proportional hazard (coxph) regression
(a) The <t>CoxPH</t> regression analysis with the markers analyzed in this study. (b-d) Adjusted survival curves for the CoxPH Model for selected variables illustrate the differences in patients’ 5-year OS regarding Pt-C resistance, PD-L2 expression and CHEK2-DIV presence. Significance analyses were performed using the Wald test.
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SAS institute cox proportional hazards regression proc phreg enterprise guide 5.1
(a) The <t>CoxPH</t> regression analysis with the markers analyzed in this study. (b-d) Adjusted survival curves for the CoxPH Model for selected variables illustrate the differences in patients’ 5-year OS regarding Pt-C resistance, PD-L2 expression and CHEK2-DIV presence. Significance analyses were performed using the Wald test.
Cox Proportional Hazards Regression Proc Phreg Enterprise Guide 5.1, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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SAS institute cox proportional hazards regression analysis proc phreg version 6.12
(a) The <t>CoxPH</t> regression analysis with the markers analyzed in this study. (b-d) Adjusted survival curves for the CoxPH Model for selected variables illustrate the differences in patients’ 5-year OS regarding Pt-C resistance, PD-L2 expression and CHEK2-DIV presence. Significance analyses were performed using the Wald test.
Cox Proportional Hazards Regression Analysis Proc Phreg Version 6.12, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Wageningen University and Research proportional hazard regression analyses
(a) The <t>CoxPH</t> regression analysis with the markers analyzed in this study. (b-d) Adjusted survival curves for the CoxPH Model for selected variables illustrate the differences in patients’ 5-year OS regarding Pt-C resistance, PD-L2 expression and CHEK2-DIV presence. Significance analyses were performed using the Wald test.
Proportional Hazard Regression Analyses, supplied by Wageningen University and Research, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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KNIME GmbH cox proportional hazard regression model
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.
Cox Proportional Hazard Regression Model, supplied by KNIME GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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HULINKS Inc cox's proportional-hazards regression model with the statview version 5.0-j program
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.
Cox's Proportional Hazards Regression Model With The Statview Version 5.0 J Program, supplied by HULINKS Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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SAS institute cox proportional hazards regression model for nested case-control data
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.
Cox Proportional Hazards Regression Model For Nested Case Control Data, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Tayside Pharmaceuticals cox proportional-hazards regression modelling
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.
Cox Proportional Hazards Regression Modelling, supplied by Tayside Pharmaceuticals, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MedCalc Software Ltd cox proportional hazard model medcalculator v.12.7
The poor prognosis CD8 + T cell gene signature is an independent prognostic indicator. The ppCD8sig was evaluated in TGCA CRC RNA-Seq dataset. Kaplan-Meier curves for disease-specific survival (A) and progression-free interval (B) were compared among patients with high (top 33%), intermediate (interm, middle 33%) or low (bottom 33%) ppCD8sig scores. The number (n) of patients in each of ppCD8sig groups and the log-rank p value from <t>Mantel-Cox</t> test are indicated. Multivariate analysis using Cox <t>proportional</t> <t>hazard</t> <t>model</t> evaluating the prognostic indication for the ppCD8sig (high, interm, low), disease stage (stages IV, III, II, (I), residual disease (yes, no), age (<55, 55–64, 65–74, >74 years of age), anatomic locations (seven different locations), and sex (male, female) for disease-specific survival (C) and progression-free interval (D). Data shown is the HR ±95% CI and the multivariate p values are indicated. Distribution of patients with high, intermediate, or low ppCD8sig scores across disease stages (E). The presence of residual disease in patients with different ppCD8sig scores (F). χ 2 test was used to determine the association between the different ppCD8sig scores and stages or residual disease. CRC, colorectal cancer; n.s, not significant; TGCA, The Cancer Genome Atlas.
Cox Proportional Hazard Model Medcalculator V.12.7, supplied by MedCalc Software Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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GraphPad Software Inc proportion hazard regression analyses
The poor prognosis CD8 + T cell gene signature is an independent prognostic indicator. The ppCD8sig was evaluated in TGCA CRC RNA-Seq dataset. Kaplan-Meier curves for disease-specific survival (A) and progression-free interval (B) were compared among patients with high (top 33%), intermediate (interm, middle 33%) or low (bottom 33%) ppCD8sig scores. The number (n) of patients in each of ppCD8sig groups and the log-rank p value from <t>Mantel-Cox</t> test are indicated. Multivariate analysis using Cox <t>proportional</t> <t>hazard</t> <t>model</t> evaluating the prognostic indication for the ppCD8sig (high, interm, low), disease stage (stages IV, III, II, (I), residual disease (yes, no), age (<55, 55–64, 65–74, >74 years of age), anatomic locations (seven different locations), and sex (male, female) for disease-specific survival (C) and progression-free interval (D). Data shown is the HR ±95% CI and the multivariate p values are indicated. Distribution of patients with high, intermediate, or low ppCD8sig scores across disease stages (E). The presence of residual disease in patients with different ppCD8sig scores (F). χ 2 test was used to determine the association between the different ppCD8sig scores and stages or residual disease. CRC, colorectal cancer; n.s, not significant; TGCA, The Cancer Genome Atlas.
Proportion Hazard Regression Analyses, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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SAS institute cox proportional hazards regression model for nested case–control data phreg procedure sas version 8
The poor prognosis CD8 + T cell gene signature is an independent prognostic indicator. The ppCD8sig was evaluated in TGCA CRC RNA-Seq dataset. Kaplan-Meier curves for disease-specific survival (A) and progression-free interval (B) were compared among patients with high (top 33%), intermediate (interm, middle 33%) or low (bottom 33%) ppCD8sig scores. The number (n) of patients in each of ppCD8sig groups and the log-rank p value from <t>Mantel-Cox</t> test are indicated. Multivariate analysis using Cox <t>proportional</t> <t>hazard</t> <t>model</t> evaluating the prognostic indication for the ppCD8sig (high, interm, low), disease stage (stages IV, III, II, (I), residual disease (yes, no), age (<55, 55–64, 65–74, >74 years of age), anatomic locations (seven different locations), and sex (male, female) for disease-specific survival (C) and progression-free interval (D). Data shown is the HR ±95% CI and the multivariate p values are indicated. Distribution of patients with high, intermediate, or low ppCD8sig scores across disease stages (E). The presence of residual disease in patients with different ppCD8sig scores (F). χ 2 test was used to determine the association between the different ppCD8sig scores and stages or residual disease. CRC, colorectal cancer; n.s, not significant; TGCA, The Cancer Genome Atlas.
Cox Proportional Hazards Regression Model For Nested Case–Control Data Phreg Procedure Sas Version 8, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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TIBCO cox proportional hazards regression model with s+ v8.0
The poor prognosis CD8 + T cell gene signature is an independent prognostic indicator. The ppCD8sig was evaluated in TGCA CRC RNA-Seq dataset. Kaplan-Meier curves for disease-specific survival (A) and progression-free interval (B) were compared among patients with high (top 33%), intermediate (interm, middle 33%) or low (bottom 33%) ppCD8sig scores. The number (n) of patients in each of ppCD8sig groups and the log-rank p value from <t>Mantel-Cox</t> test are indicated. Multivariate analysis using Cox <t>proportional</t> <t>hazard</t> <t>model</t> evaluating the prognostic indication for the ppCD8sig (high, interm, low), disease stage (stages IV, III, II, (I), residual disease (yes, no), age (<55, 55–64, 65–74, >74 years of age), anatomic locations (seven different locations), and sex (male, female) for disease-specific survival (C) and progression-free interval (D). Data shown is the HR ±95% CI and the multivariate p values are indicated. Distribution of patients with high, intermediate, or low ppCD8sig scores across disease stages (E). The presence of residual disease in patients with different ppCD8sig scores (F). χ 2 test was used to determine the association between the different ppCD8sig scores and stages or residual disease. CRC, colorectal cancer; n.s, not significant; TGCA, The Cancer Genome Atlas.
Cox Proportional Hazards Regression Model With S+ V8.0, supplied by TIBCO, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


(a) The CoxPH regression analysis with the markers analyzed in this study. (b-d) Adjusted survival curves for the CoxPH Model for selected variables illustrate the differences in patients’ 5-year OS regarding Pt-C resistance, PD-L2 expression and CHEK2-DIV presence. Significance analyses were performed using the Wald test.

Journal: PLOS One

Article Title: Association of a CHEK2 somatic variant with tumor microenvironment calprotectin expression predicts platinum resistance in a small cohort of ovarian carcinoma

doi: 10.1371/journal.pone.0315487

Figure Lengend Snippet: (a) The CoxPH regression analysis with the markers analyzed in this study. (b-d) Adjusted survival curves for the CoxPH Model for selected variables illustrate the differences in patients’ 5-year OS regarding Pt-C resistance, PD-L2 expression and CHEK2-DIV presence. Significance analyses were performed using the Wald test.

Article Snippet: The relative risk for selected parameters was obtained through Cox-proportional Hazard (CoxPH) Regression using RStudio and GraphPad Prism [ , ].

Techniques: Expressing

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

The poor prognosis CD8 + T cell gene signature is an independent prognostic indicator. The ppCD8sig was evaluated in TGCA CRC RNA-Seq dataset. Kaplan-Meier curves for disease-specific survival (A) and progression-free interval (B) were compared among patients with high (top 33%), intermediate (interm, middle 33%) or low (bottom 33%) ppCD8sig scores. The number (n) of patients in each of ppCD8sig groups and the log-rank p value from Mantel-Cox test are indicated. Multivariate analysis using Cox proportional hazard model evaluating the prognostic indication for the ppCD8sig (high, interm, low), disease stage (stages IV, III, II, (I), residual disease (yes, no), age (<55, 55–64, 65–74, >74 years of age), anatomic locations (seven different locations), and sex (male, female) for disease-specific survival (C) and progression-free interval (D). Data shown is the HR ±95% CI and the multivariate p values are indicated. Distribution of patients with high, intermediate, or low ppCD8sig scores across disease stages (E). The presence of residual disease in patients with different ppCD8sig scores (F). χ 2 test was used to determine the association between the different ppCD8sig scores and stages or residual disease. CRC, colorectal cancer; n.s, not significant; TGCA, The Cancer Genome Atlas.

Journal: Journal for Immunotherapy of Cancer

Article Title: Differential gene expression of tumor-infiltrating CD8 + T cells in advanced versus early-stage colorectal cancer and identification of a gene signature of poor prognosis

doi: 10.1136/jitc-2020-001294

Figure Lengend Snippet: The poor prognosis CD8 + T cell gene signature is an independent prognostic indicator. The ppCD8sig was evaluated in TGCA CRC RNA-Seq dataset. Kaplan-Meier curves for disease-specific survival (A) and progression-free interval (B) were compared among patients with high (top 33%), intermediate (interm, middle 33%) or low (bottom 33%) ppCD8sig scores. The number (n) of patients in each of ppCD8sig groups and the log-rank p value from Mantel-Cox test are indicated. Multivariate analysis using Cox proportional hazard model evaluating the prognostic indication for the ppCD8sig (high, interm, low), disease stage (stages IV, III, II, (I), residual disease (yes, no), age (<55, 55–64, 65–74, >74 years of age), anatomic locations (seven different locations), and sex (male, female) for disease-specific survival (C) and progression-free interval (D). Data shown is the HR ±95% CI and the multivariate p values are indicated. Distribution of patients with high, intermediate, or low ppCD8sig scores across disease stages (E). The presence of residual disease in patients with different ppCD8sig scores (F). χ 2 test was used to determine the association between the different ppCD8sig scores and stages or residual disease. CRC, colorectal cancer; n.s, not significant; TGCA, The Cancer Genome Atlas.

Article Snippet: Multivariate analyzes for DSS and PFI were performed using Cox proportional hazard model (MedCalculator V.12.7, https://www.medcalc.org/ ) in comparison to the ppCD8sig (high, intermediate, low), disease stage (IV, III, II, I), residual disease (yes, no), age (<55, 55–64, 65–74, >74 years of age), anatomic locations (seven different locations), and sex (male, female). χ 2 test was used to determine the association between the different ppCD8sig scores and disease stage, the presence of residual disease, age, gender or different CRC anatomical locations.

Techniques: RNA Sequencing