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Cox proportional hazards regression analysis.

Original Article Upregulation of MALAT1 expression predicts a poor prognosis in the development of intracranial aneurysm (IA)

Original Article Upregulation of MALAT1 expression predicts a poor prognosis in the development of intracranial aneurysm (IA)

... PCR analysis was performed to detect the expression of ...survival analysis. Univariate and multivariate Cox proportional hazards regression analysis was performed to ...

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Bio psychosocial determinants of time lost from work following non life threatening acute orthopaedic trauma

Bio psychosocial determinants of time lost from work following non life threatening acute orthopaedic trauma

... Multivariate Cox proportional hazards regression analysis identified that blue collar work, negative pain attitudes with respect to work, high initial pain intensity, injury severity, ...

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Original Article Construction of an eight-gene signature for survival evaluation of papillary thyroid cancer patients

Original Article Construction of an eight-gene signature for survival evaluation of papillary thyroid cancer patients

... univariate analysis, and found to be signifi- cantly associated with overall survival of PTC patients (Table ...multivariate analysis. Multivariate Cox proportional hazards ...

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Time to publication among completed diagnostic accuracy studies: associated with reported accuracy estimates

Time to publication among completed diagnostic accuracy studies: associated with reported accuracy estimates

... multivariable Cox proportional hazards regression analysis to evaluate the unconditional and conditional effect of accuracy estimates on the hazard of publication, adjusting for year of ...

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A DAG-based comparison of interventional effect underestimation between composite endpoint and multi-state analysis in cardiovascular trials

A DAG-based comparison of interventional effect underestimation between composite endpoint and multi-state analysis in cardiovascular trials

... transition hazards are equally affected by treatment and unaffected by non-fatal events ( ρ = 1), but a common unobserved variable Z acts mul- tiplicatively on each transition ...treatment regression ...

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Butterfly Tumor of the Corpus Callosum: Clinical Characteristics, Diagnosis, and Survival Analysis.

Butterfly Tumor of the Corpus Callosum: Clinical Characteristics, Diagnosis, and Survival Analysis.

... the Cox proportional hazard regression was the estimated hazard ratio for ...Using Cox proportional hazards regression, the independent prognostic factors were Karnofsky ...

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Prognostic Value of Pretreatment Albumin-to-Alkaline Phosphatase Ratio in Extensive-Disease Small-Cell Lung Cancer: A Retrospective Cohort Study

<p>Prognostic Value of Pretreatment Albumin-to-Alkaline Phosphatase Ratio in Extensive-Disease Small-Cell Lung Cancer: A Retrospective Cohort Study</p>

... Patients and Methods: This was a retrospective cohort study of 224 patients with ED- SCLC. The target independent and dependent variables were pretreatment AAPR and OS, respectively. Covariates included age; sex; Eastern ...

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High RAD54B expression: an independent predictor of postoperative distant recurrence in colorectal cancer patients

High RAD54B expression: an independent predictor of postoperative distant recurrence in colorectal cancer patients

... survival analysis was adopted for DRFS rate analysis, and survival differences between patients groups were evaluated using the log-rank ...the Cox proportional-hazards ...

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Brachial&ndash;ankle pulse wave velocity, cardio-ankle vascular index, and prognosis

Brachial&ndash;ankle pulse wave velocity, cardio-ankle vascular index, and prognosis

... multivariate Cox proportional hazards model or multivariate logistic regression model were defined as ...Kaplan–Meier analysis (log-rank test) and/or not demonstrating statistical ...

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Original Article Decreased expression of forkhead box O3 in human hepatocellular carcinoma and its prognostic significance

Original Article Decreased expression of forkhead box O3 in human hepatocellular carcinoma and its prognostic significance

... Kaplan-Meier analysis and Cox proportional hazards regression model were used to analyze the data of FoxO3 expression profile and clini- copathological ...Kaplan-Meier analysis ...

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Modeling Time to Death of HIV Infected Patients on Antiretroviral Therapy in case of Hossana Queen Elleni Mohammad Memorial Hospital, South Ethiopia

Modeling Time to Death of HIV Infected Patients on Antiretroviral Therapy in case of Hossana Queen Elleni Mohammad Memorial Hospital, South Ethiopia

... using Cox ph and parametric survival regression ...Descriptive analysis, Cox’s regression model was employed to identify the covariates that have a statistical significant effect on the ...

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Reasons why osteoarthritis predicts mortality: path analysis within a Cox proportional hazards model

Reasons why osteoarthritis predicts mortality: path analysis within a Cox proportional hazards model

... of proportional hazards and non- informative censoring are met, the weighted Cox regression model will give HRs which are estimates of the indirect and direct effects; the indirect effect is ...

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Volume 23 - Article 5 | Pages 105–116

Volume 23 - Article 5 | Pages 105–116

... component analysis to assess its factor composition. We estimated Cox proportional hazards regression models controlling for the potential confounding variable to explore the ...

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Practical application of cure mixture model for long-term censored survivor data from a withdrawal clinical trial of patients with major depressive disorder

Practical application of cure mixture model for long-term censored survivor data from a withdrawal clinical trial of patients with major depressive disorder

... survival analysis methods such as the log-rank test and Cox proportional hazards regres- sion (Cox regression) may be inappropriate when ...

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Intake of glucosinolates and risk of coronary heart disease in three large prospective cohorts of US men and women

Intake of glucosinolates and risk of coronary heart disease in three large prospective cohorts of US men and women

... time-dependent Cox proportional hazards regression after pooling data from three ...The analysis was stratified jointly by age (years) and calendar year, and adjusted for ethnicity ...

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TIME-DEPENDENT COVARIATES IN THE COX PROPORTIONAL HAZARDS REGRESSION MODEL.pdf

TIME-DEPENDENT COVARIATES IN THE COX PROPORTIONAL HAZARDS REGRESSION MODEL.pdf

... Cavender et al (1) present an analysis by using time-dependent covariates. The data are from the Coronary Artery Surgery Study (CASS), in which indi- viduals with mild angina (i.e. chest pain caused by coronary ...

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Recreational physical activity and risk of triple negative breast cancer in the California Teachers Study

Recreational physical activity and risk of triple negative breast cancer in the California Teachers Study

... Cox proportional hazards models provided multivariable- adjusted estimates of hazard ratios (HRs) and 95 % confi- dence intervals (CIs) for breast cancer overall and for ER/ PR/HER2-defined breast ...

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Effect of glandular metastases on overall survival of patients with metastatic clear cell renal cell carcinoma in the antiangiogenic therapy era.

Effect of glandular metastases on overall survival of patients with metastatic clear cell renal cell carcinoma in the antiangiogenic therapy era.

... primary analysis model is a multivariable Cox proportional hazards regression used to evaluate separately the prognostic significance of specific metastatic sites (liver, bone and lung) ...

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False Selection Rate Methods in the Cox Proportional Hazards Model

False Selection Rate Methods in the Cox Proportional Hazards Model

... the Cox proportional hazards model, and estimated the entry significance level α in forward selection to achieve a targeted false selection ...

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Credit scoring, statistical techniques and evaluation criteria: A review of the literature

Credit scoring, statistical techniques and evaluation criteria: A review of the literature

... models, also known as recursive partitioning (Hand & Henley, 1997) or Classification and Regression Trees (CART). Probably one of the first uses of a CART model was pioneered by Breiman et al. (1984). However, ...

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