Cox proportional
Reasons why osteoarthritis predicts mortality: path analysis within a Cox proportional hazards model
... a cox proportional hazards analysis determined the total effect (te) of Oa on mortality after adjustment for potential ...the cox model, path analysis was used to decompose the te to assess the ...
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Life Duration of New Firms in Iranian Manufacturing Industries Using Cox Proportional Hazard Model
... the Cox proportional hazard model and concluded that there is a significant positive correlation between firm survival and these ...The Cox proportional hazard model and log normal ...
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Survival prediction based on compound covariate under cox proportional hazard models
... Survival prediction from a large number of covariates is a current focus of statistical and medical research. In this paper, we study a methodology known as the compound covariate prediction performed under univariate ...
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Effects of Collinearity on Cox Proportional Hazard Model with Time Dependent Coefficients: A Simulation Study
... Some researches worked on Cox regression analysis in presence of collinearity. In their paper, they considered the analysis of time to event data in the presence of collinearity between covariates. They bent ...
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Estimation of the Survivorship Function Using the Cox-Proportional Hazard Model with Relaxed Tsiatis Assumptions
... Abstract: Survival analysis is the primary statistical method of analysing time to event data. The most popular method for estimating the survivor function is the Cox-Proportional Hazard model. It assumes ...
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A STUDY OF THE SLOPE OF COX PROPORTIONAL HAZARD AND WEIBULL MODELS: SIMULATED AND REAL LIFE DATA APPROACH
... the Cox Proportional Hazards model may be estimated with the COXPH, another R package also designed for simulation in survival analysis with Cox Proportional Hazard Model as underlying ...
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TIME-DEPENDENT COVARIATES IN THE COX PROPORTIONAL HAZARDS REGRESSION MODEL.pdf
... The Cox proportional-hazards regression model has achieved widespread use in the analysis of time-to-event data with censoring and ...in Cox models with fixed (non– time-dependent) ...
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Modeling Time-to- Recovery of Adult Diabetic Patients Using Cox-Proportional Hazards Model
... Abstract: Diabetes is a group of diseases marked by high or low level of glucose resulting from defects in insulin production, insulin action or both. The objective of this study is to model time-to-first recovery of ...
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DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
... We propose a modern Cox proportional hazards deep neural network, henceforth referred to as DeepSurv, as the basis for a treatment recommender system. We make the following contributions. First, we show ...
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Bayesian Spatial Cox Proportional Hazard Model For HIV Infected Tuberculosis Cases In Chennai
... Parametric proportional hazards model with a Weibull formulation for the baseline hazards, placing a univariate CAR structure on the frailty intercept terms was studied for infant mortality ...usual Cox ...
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False Selection Rate Methods in the Cox Proportional Hazards Model
... In Section 3.1, we applied the Forward-FSR method to the Cox proportional hazards model, and estimated the entry significance level α in forward selection to achieve a targeted false selection rate. ...
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Modeling time to recovery of adult diabetic patients: a comparison of cox proportional hazard and shared gamma frailty models
... for Cox PH model (Cox, 1972) was developed under the assumption that the observations are statistically independent and the population they come from is assumed to be homogeneous with respect to ...
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Estimation in a Cox Proportional Hazards Cure Model
... In summary, when the true model is a Weibull mixture, under ideal conditions of sufficient follow-up and mild censoring, the PH mixture is comparable in efficiency in the estimation of t[r] ...
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Performance of piecewise gamma baseline hazard function in Bayesian survival analysis
... Later, numerous studies had been carried out to propose prior of the baseline hazard function for Cox proportional hazards model in recent years. Ayman and Anis (2011) proposed polygonal function as the ...
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Distinct patterns and prognostic values of tumor infiltrating macrophages in hepatocellular carcinoma and gastric cancer
... multivariate Cox proportional hazard regression model, which was used to estimate the adjusted hazard ratio (HR) and 95% confi- dence interval (CI), and to identify independent prognos- tic ...
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Original Article Construction of an eight-gene signature for survival evaluation of papillary thyroid cancer patients
... Multivariate Cox proportional hazards regression analysis rec- ognized 8 differentially-expressed genes that were remarkably correlated with overall sur- vival (OS, Table ...
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Pulmonary venous occlusion and death in pulmonary arterial hypertension: survival analyses using radiographic surrogates
... death. Cox propor- tional hazard analysis using mediastinal adenopathy as a surrogate found that the adenopathy was associated with a seriously increased risk of death ( p < ...BNP, Cox ...
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Increased risk for urological cancer associated with anxiety disorder: a retrospective cohort study
... stratified Cox proportional hazard regression suggested that patients with ADs were more likely to develop urological cancers relative to comparison subjects (adjusted hazard ratio, ...
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ADAR1 overexpression is associated with cervical cancer progression and angiogenesis
... of Cox proportional hazards assessment and the PNI expression in squamous cell carcinoma, it suggested that ADAR1 expression was not only associated with the metastasis, invasion, and malignancy of cervical ...
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Original Article An analysis on clinicopathological features and prognostic factors of patient with primary hepatic lymphoma
... the Cox proportional haz- ards regression model to determine the inde- pendent factors influencing prognosis of the patients with PHL, and statistical significance was indicated with a p value less than ...
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