Proportional hazards
Application of random survival forests in understanding the determinants of under five child mortality in Uganda in the presence of covariates that satisfy the proportional and non proportional hazards assumption
... the proportional hazards assump- tion is violated [27, ...Cox proportional hazards model to the random survival forests by re-analysing a dataset that was first analysed by ...tional ...
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An approach to trial design and analysis in the era of non proportional hazards of the treatment effect
... non- proportional hazards needs to accommodate a wider con- sideration of the nature of treatment ...under proportional hazards, but which utilizes a joint test of the null hypothesis with ...
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TIME-DEPENDENT COVARIATES IN THE COX PROPORTIONAL HAZARDS REGRESSION MODEL.pdf
... One of the benefits of the proportional-hazards model with all fixed covariates is the ability to give individualized predictions of the estimated time to the event of interest. Estimated curves under ...
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Semiparametric estimation of a panel data proportional hazards model with fixed effects
... a proportional hazards spec- ification with fixed ...the proportional hazards model with dependent right censoring, under which the partial likelihood estimator is ...
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A Statistical Model with Non Linear Effects and Non Proportional Hazards for Breast Cancer Survival Analysis
... In the present study, we identified and adjusted non-linearities and non-proportionalities that exist in the breast cancer data. The model develop- ment started by fitting the standard Cox model and then checked for the ...
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A semiparametric Bayesian proportional hazards model for interval censored data with frailty effects
... Bellamy et al. [8] extend parametric event time models to clustered and interval censored settings by introducing additive frailties to the linear predictor. Frailty comes into play when multiple events are considered ...
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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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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 the ‘amount’ of ...
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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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Proportional Hazards Regression Model for Time to Event Breast Cancer Data: A Bayesian Approach
... The proportional hazards model (PHM) in the context of survival data analysis, is same as Cox model and was introduced by Cox (1972) in order to estimate the effects of different covariates influencing the ...
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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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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
... Hypertabastic Proportional Hazards Model has smaller criterion values as compared to Cox Proportional Hazards Model and it better fits the data on breast cancer patients in this ...
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DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
... The Faraggi-Simon method is a feed-forward neural net- work that provides the basis for a nonlinear proportional hazards model. [10] experimented with a single hidden layer network with two or three nodes. ...
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Adaptive-LASSO for Cox's proportional hazards model
... One main issue in time-to-event data analysis is to study the dependence of survival time T on covariates z = (z 1 , · · · , z d ). Cox’s proportional hazards model (Cox 1972, 1975) is one of the most ...
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Testing the proportional hazards assumption in case-cohort analysis
... One of the key assumptions of the Cox model is the proportional hazards function assumption. Specifically, the model assumes that each covariate has a multiplica- tive effect in the hazards function ...
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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 parameters. Recently, the model has been the most common from a ...
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On the proportional hazards model for occupational and environmental case-control analyses
... Conclusion: The WC model with the superpopulation variance estimator provides an alternative analytical approach for estimating the effects of time-varying exposures with detailed histor[r] ...
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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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The relationship between high-dose corticosteroid treatment and mortality in acute respiratory distress syndrome: a retrospective and observational study using a nationwide administrative database in Japan
... A systemic inflammatory response is closely associated with the development of ARDS. Thus, anti-inflammatory corticosteroid treatment may be a logical choice for ARDS [6–8]. However, according to previous studies and ...
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Hypertabastic survival model
... hypertabastic proportional hazards model with parametric baseline hazard function, the hypertabas- tic accelerated failure model and the hypertabastic pro- portional odds ...accelerated hazards ...
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