Cox proportional hazard models
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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simPH: An R package for illustrating estimates from cox proportional hazard models including for interactive and nonlinear effects
... from Cox PH models have asymmetric probability distributions on a nonlinear scale and can therefore be poorly summarized by central ...relative hazard values are close to 0, then Liu, Gelman, and ...
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Clinical Study on the Impact of Long term Survival Quality in 204 Postoperative Patients with Breast Cancer by Cox Proportional Hazard Models
... into Cox model which may influence postoperative patients with breast cancer to make clinical synthetic evaluation and analysis in order to improve their QoL and get long-term ...
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CYP19A1 promoter methylation in saliva associated with milestones of pubertal timing in urban girls
... regression. Cox proportional hazard models were used to identify associations between DNA methylation and age at PH2 or ...All models were adjusted for Hispanic ethnicity, Black race, ...
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Volume 38 - Article 66 | Pages 2073–2086
... competing-risks Cox proportional hazard models to predict whether first cohabiting unions ended in (a) marriage or (b) cohabitation dissolution versus continuing to cohabit from education and ...
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A STUDY OF THE SLOPE OF COX PROPORTIONAL HAZARD AND WEIBULL MODELS: SIMULATED AND REAL LIFE DATA APPROACH
... Parametric models require that the distribution of survival time is known and the hazard function is completely specified except for the values of the unknown ...satisfied, Cox Proportional ...
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Adverse health effects of asbestos: solving mysteries regarding asbestos carcinogenicity based on follow-up survey of a Chinese factory
... rates. Cox proportional hazard models were fit to estimate the exposure-specific lung cancer risks fol- lowing adjustments for age and smoking, and an exter- nal control cohort consisting of ...
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Psychotropic Medication Use in Parents of Children Diagnosed With Cancer
... used Cox proportional hazard models to examine whether sociodemographic factors (education and income obtained 1 year before diagnosis) and disease characteristics (cancer type obtained at ...
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Microbiota fingerprints lose individually identifying features over time
... used Cox proportional hazard models to relate OTU abundance, indicator value and hitting set mem- bership to the probability of an OTU being lost from either skin or surfaces, or of being ...
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Modeling time to recovery of adult diabetic patients: a comparison of cox proportional hazard and shared gamma frailty models
... mortality models in populations (Beard, ...survival models (Vaupel et ...mixed proportional hazards model (Lancaster et ...Frailty models account for unobserved heterogeneity that occurs ...
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Flexible parametric modelling of cause-specific hazards to estimate cumulative incidence functions
... a Cox modelling framework, we feel that parametric models have the advantage of directly estimating cause-specific hazard rates in the model as well as handling non- proportional hazards with ...
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Causes of culling in dairy cows and its relation to age at culling and interval from calving in Shiraz, Southern Iran
... removal. Cox proportional hazard model was used and two separate Cox models were fitted using SPSS for Windows (Version ...The hazard functions for culling with regard to ...
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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 publication, ...
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Statistical models for the analysis of skewed healthcare cost data: a simulation study
... and Cox proportional hazard regression models, were compared using Monte Carlo simulation under different situations, which were generated from skewed ...
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The predictors of 3 and 30 day mortality in 660 MERS CoV patients
... reported. Cox-proportional hazard (CPH) models were applied to estimate the hazard ratios for the predictors of 3- and 30-day ...
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Life Duration of New Firms in Iranian Manufacturing Industries Using Cox Proportional Hazard Model
... conventional models and therefore leads to the unreliable ...semi-nonparametric models for survival analysis has been presented by Cox in ...parametric hazard function is function of the ...
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Performance of piecewise gamma baseline hazard function in Bayesian survival analysis
... estimate hazard rate and survival probability for survival data, numerous studies has been carried out to fit the survival ...numerous models which are available in ...define hazard function is ...
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“Spatial heterogeneity of environmental risk in randomized prevention trials: consequences and modeling”
... the Cox Proportional Hazard (Cox-PH) model is the most widely used multivariate approach in clinical trials, it is not always applied correctly in contexts of spatial ...Additive Models ...
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... classical Cox proportional hazard model, that is popularly used to analyse survival data, cannot be used for modelling risk when the proportional hazard assumption is violated or when ...
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Bayesian Spatial Cox Proportional Hazard Model For HIV Infected Tuberculosis Cases In Chennai
... semi-parametric Cox proportional hazard model shows the non-frailty, frailty and Spatial frailty for Cox model to HIV infected TB data with considering the covariates age, treatment (cat),sex ...
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