proportional hazards model
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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Survival Analysis of Determinants of Breast Cancer Patients at Hossana Queen Elleni Mohammad Memorial Referral Hospital, South Ethiopia: Bayesian Application of Hypertabastic Proportional Hazards Model
... the model with smaller value fit the data ...Hypertabastic Proportional Hazards Model has smaller criterion values as compared to Cox Proportional Hazards Model and it ...
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Parametric Cure Model versus Proportional Hazards Model in Survival Analysis of Breast Cancer and Other Malignancies
... cure model, which provides estimates of c and m where m is the mean of log times to death from cancer among uncured ...the proportional haz- ards model like the Cox regression and log-rank tests ...
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Condition-based maintenance for systems with aging and cumulative damage based on proportional hazards model
... This paper develops a condition-based maintenance (CBM) policy for systems subject to aging and cumulative damage. The cumulative damage is modeled by a continuous degradation process. Different from previous studies ...
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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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Semiparametric estimation of a panel data proportional hazards model with fixed effects
... data proportional hazards model with fixed ...the model can be estimated consistently with dependent right censoring, under which the partial likelihood estimator is ...
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False Selection Rate Methods in the Cox Proportional Hazards Model
... We wrote SAS programs (Software SAS version 9.1) to implement the first five meth- ods. The other seven methods are computed in MATLAB (Software MATLAB version 7.0), using programs received from Runze Li on September 9, ...
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Estimating proportional hazards model using frequentist and bayesian approaches
... the proportional hazards model (PHM) is one of a class of survival ...This model estimates the effects of different covariates influencing the time-to-event data in which the hazard function ...
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Application Of The Empirical Likelihood Method In Proportional Hazards Model
... the proportional hazards assumptions for the Cox model, ...a proportional hazards model with a common unspecified baseline hazard ...the model forces the baseline ...
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Adaptive-LASSO for Cox's proportional hazards model
... Recently a family of penalized partial likelihood methods, such as LASSO (Tibshirani 1997) and SCAD (Fan & Li, 2002), have been proposed for Cox’s proportional hazards model. These methods shrink ...
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Comparison of imputation methods for handling missing covariate data when fitting a Cox proportional hazards model: a resampling study
... Cox proportional hazards model was fitted to each dataset and estimates for the regression coefficients and model performance measures ...
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Timing of the first deciduous tooth eruption (incisors) and its related factors in infants: a longitudinal study using Cox’s proportional hazards model
... COX model, there are inverse associations between eruption time of first primary tooth and maternal age, infant's age of receiving semi-solid food, the duration of breastfeeding (these variables cause a delay in ...
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Reasons why osteoarthritis predicts mortality: path analysis within a Cox proportional hazards model
... Of those with OA, 606 (19.0%) died during the study period, compared with 1039 (14.3%) who didn’t have OA; median person- time (IQR) of follow- up was 3674 days (3461–3835) cf. 3646 days (3472–3834). Figure 3 shows ...
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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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On the proportional hazards model for occupational and environmental case-control analyses
... There are different potential explanations for the dis- crepancies between the results from the Cox (WC1 and WC2) and logistic (CLR and ULR) models. First the ad- justment for age was largely different in the two series ...
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A semiparametric Bayesian proportional hazards model for interval censored data with frailty effects
... The data set is analyzed with the model described in Sec- tion 'Methods'. The log baseline hazard is modeled by cubic splines as well as by a step function. There were phases of no sampling in the ...
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Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent
... penalty. Park and Hastie (2007a) applied this to the Cox model and proposed an efficient algorithm to solve this problem along a path of c and α values. Their algorithm exploits the near piecewise linearity of the ...
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Proportional Hazards Regression Model for Time to Event Breast Cancer Data: A Bayesian Approach
... regression model to consider strategies for performing survivability of patients with breast cancer through Bayesian ...The proportional hazards model (PHM) in the context of survival data ...
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The single-index hazards model
... linear proportional hazards model in which a single-index was used for dimension reduction and Xia et ...general model which includes the transformation model (Zeng and Lin 2007b) and ...
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DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
... Cox proportional hazards model; GBSG: The German breast cancer study group; IHC4+C: Immunohistochemical 4 plus clinical; METABRIC: Molecular taxonomy of breast cancer international consortium; MI: ...
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