Non-Proportional Hazards
A Statistical Model with Non Linear Effects and Non Proportional Hazards for Breast Cancer Survival Analysis
... adjusted non-linearities and non-proportionalities that exist in the breast cancer ...inadequacies: non-linear effects, non-proportional hazards and unusual/influential ...
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An approach to trial design and analysis in the era of non proportional hazards of the treatment effect
... of 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 ...
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An approach to trial design and analysis in the era of non-proportional hazards of the treatment effect
... of 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 ...
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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 standard Cox proportional hazards model was being used for analysis. In some cases, other models like the extended Cox model have been used but they are known to have some restrictive formulation ...
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Life expectancy difference and life expectancy ratio: two measures of treatment effects in randomised trials with non-proportional hazards
... This randomised trial of 370 patients examined the addition of rituximab to standard chemotherapy for patients with untreated mantle cell lymphoma. 11 The Grambsch-Therneau test for non-proportional ...
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An Empirical Comparison between Partial Likelihood and Penalized Partial Likelihood Estimators for Semi-parametric Non-proportional Hazards Models with Frailty
... Conclusion It was reported in Neuhaus et al.(1992) that one cannot establish effects of misspecification through fitting models on the basis of a single random effects distribution. In our current study, findings from ...
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Robust frailty modelling using non-proportional hazards models
... the hazards of various shapes, leading to a flexible survival regression model (MacKenzie, ...of non-PH models shared by the GTDL, but one which PH models such as the Weibull and Cox models do not ...
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Augmenting the logrank test in the design of clinical trials in which non-proportional hazards of the treatment effect may be anticipated
... Many tests comparing two survival distributions have been proposed and studied. For example, Li et al. [19] recently compared the power of 21 such tests in rela- tively small samples in which the survival curves cross. ...
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Supervised Dimension Reduction for Large-scale Omics Data with Censored Survival Outcomes Under Possible Non-proportional Hazards
... Regularization methods generally perform well in this setting by identifying unimportant features from the large number of features present by shrinking their coefficients to exactly zero. However, a method such as LASSO ...
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Testing for Proportional Hazards with Unrestricted Univariate Unobserved Heterogeneity
... the proportional hazards assumption, with re- spect to a continuous covariate, in the presence of unobserved hetero- geneity with unknown distribution at the individual observation ...modeling ...
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Comparison of proportional hazards and accelerated failure time models
... with non-proportional ...with non-proportionality, di¤erent results may be obtained from di¤erent choices of time-dependent ...the non-proportional ...with non-proportionality is ...
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Generating Survival Times to Simulate Cox Proportional Hazards Models
... regression effects from hazard to survival time is easy if the baseline hazard function is constant, i.e. the survival times are exponentially distributed. This may be the reason why most simulation studies regarding the ...
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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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Estimation in a Cox Proportional Hazards Cure Model
... We develop maximum likelihood techniques for the joint estimation of the incidence and latency regression parameters in this model using the nonparametric form of th[r] ...
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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 ...
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Density Regression Based on Proportional Hazards Family
... Academic Editors: Carlos Alberto de Bragança Pereira and Adriano Polpo Received: 16 March 2015 / Accepted: 29 May 2015 / Published: 4 June 2015 Abstract: This paper develops a class of density regression models based on ...
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The Dantzig selector in Cox's proportional hazards model
... the proportional hazard model based on the variance of the martingale residuals proposed by Barlow & Prentice (1988) (the smaller the better); and the integrated Brier-Score introduced by Graf et ...
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Concordance Probability and Discriminatory Power in Proportional Hazards Regression
... 1275 York Avenue Box 44 New York, NY 10021 Summary. The concordance probability is used to evaluate the discriminatory power and the predictive accuracy of nonlinear statistical models. We derive an analytic expression ...
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Application Of The Empirical Likelihood Method In Proportional Hazards Model
... Abstract In survival analysis, proportional hazards model is the most commonly used and the Cox model is the most popular. These models are developed to facilitate statistical analy- sis frequently ...
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Comparison between Weibull and Cox proportional hazards models
... in non-medical fields include the amount of time before a malfunction of a mechanical component, lifetime of the battery in a laptop, and the employment time of employees for a certain ...
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