The proportional hazards model
Adaptive-LASSO for Cox's proportional hazards model
... Cox’s proportional hazards model, and propose a unified model selection and estimation procedure with desired theoretical properties and computational ...the model selection process, ...
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Application Of The Empirical Likelihood Method In Proportional Hazards Model
... analysis, proportional hazards model is the most commonly used and the Cox model is the most ...the model assumptions is a key ...makes model assessment difficult, and the ...
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On the dependence between the extreme order statistics in the proportional hazards model
... 4.1. A lower bound on (Y (1) , Y (n) ) It was mentioned in the Introduction that under the conditions of Proposition 1, the presence of heterogeneity in a set of observations from a proportional hazards ...
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Estimating proportional hazards model using frequentist and bayesian approaches
... Proportional hazards model can be modelled from classical perspective by obtaining the partial likelihood approach in estimating the unknown ...the model has been the most common from a ...
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False Selection Rate Methods in the Cox Proportional Hazards Model
... Table 4.2 summarizes the average b λ estimated by GCV in the original LASSO method and by the LASSO-FSR method on data sets with sample size 150 and 12 covariates. We see that b λ chosen by GCV is relatively smaller than ...
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Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent
... Rob Tibshirani Stanford University Abstract We introduce a pathwise algorithm for the Cox proportional hazards model, regularized by convex combinations of ` 1 and ` 2 penalties (elastic net). Our ...
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Semiparametric estimation of a panel data proportional hazards model with fixed effects
... duration model that has a proportional hazards spec- ification with fixed ...the proportional hazards model with dependent right censoring, under which the partial likelihood ...
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Marginal structural Cox proportional hazards model for data with measurement errors
... fit model to regress Z on X in the validation data set and calculate the estimator of E(Z|X) in the main data set, and then fit a standard model using E(Z|X) as the predictor to obtain the bias-corrected ...
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A multi-stage stochastic programming for condition-based maintenance with proportional hazards model
... using Proportional Hazards Model (PHM) is a kind of maintenance optimization problem in which inspections of a system relevant to its failure rate depending on the age and value of covariates are ...
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Tests for Two Survival Curves Using Cox s Proportional Hazards Model
... Cox’s Proportional Hazards Model procedure window by expanding Survival, then Two Survival Curves, then clicking Test (Inequality), and then clicking on Tests for Two Survival Curves Using Cox’s ...
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Tuning Parameter Selection in Cox Proportional Hazards Model with a Diverging Number of Parameters
... true model or some covariates with nonzero true effects are not included in the initial family of candidate ...than model selection ...the model whose squared loss converges to the infimum of the ...
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Trend-constrained corrected score for proportional hazards model with covariate measurement error
... Cox proportional hazards model is the most popular method to investigate the relationship between cova- riates and possibly right-censored survival ...
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Condition-based maintenance for systems with aging and cumulative damage based on proportional hazards model
... c City University of Hong Kong, Shenzhen Research Institute, Shenzhen, China Abstract This paper develops a condition-based maintenance (CBM) policy for systems subject to aging and cumulative damage. The cumulative ...
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Relaxing the independent censoring assumption in the Cox proportional hazards model using multiple imputation.
... parametric proportional hazards model were used instead of a Cox model in (2) and (3), then we would create multiple imputed datasets in a very similar way, except that to save computation ...
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Modeling Time-to- Recovery of Adult Diabetic Patients Using Cox-Proportional Hazards Model
... to model time-to-first recovery of adult diabetic patients using Cox Proportional Hazards ...Cox Proportional Hazard model were ...
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Asymptotic properties of the maximum likelihood estimator for the proportional hazards model with doubly censored data
... Doubly censored data, which include left as well as right censored observations, are frequently met in practice. Though estimation of the distribution function with doubly censored data has seen much study, relatively ...
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Data generation for the Cox proportional hazards model with time-dependent covariates: A method for medical researchers
... tional hazards model is one such method that is widely ...Cox model with time-dependent covariates are developed, simulations studies will grow in impor- tance as ...Cox proportional ...
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Genetic evaluation of functional longevity in South African Holstein cattle using a proportional hazards model
... A proportional hazards model with a piecewise Weibull baseline hazard was used to determine the contribution of individual body, rump, udder, feet and leg traits on risk of culling among dairy ...
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The Cox Proportional Hazards Model
... effect of interest (i.e., not the treatment variable) and it does not interact with the effect of interest.. Time-dependent covariates[r] ...
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The Dantzig selector in Cox's proportional hazards model
... the model in some fashion in order to attain good predictive ...the proportional hazard model based on the variance of the martingale residuals proposed by Barlow & Prentice (1988) (the smaller ...
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