Rank-based method and least square approach are the most common techniques for estimating the regression parameters of accelerated failure time model. In this study, both inference procedures are considered their advantages and disadvantages are explained and their similarities and differences are discussed
Abstract Background When boosting algorithms are used for building survival models from high-dimensi...
BACKGROUND: Survival analysis is the most appropriate method of analysis for time-to-event data. The...
Theoretical thesis.Bibliography: pages 55-57.1. Introduction -- 2. Literature Review -- 3. Penalised...
Semiparametric analysis and rank-based inference for the accelerated failure time model are complica...
In survival analysis, semiparametric accelerated failure time (AFT) models directly relate the predi...
A rank-based variable selection procedure is developed for the semiparametric accelerated failure ti...
The classical accelerated failure time (AFT) model has been extensively investigated due to its dire...
In survival analysis, semiparametric accelerated failure time (AFT) models directly relate the predi...
Estimating the covariance matrix of the rank estimators in the accelerated failure time model is com...
In this thesis, we study two methods for inference of parameters in the accelerated failure time mod...
A smoothed rank-based procedure is developed for the accelerated failure time model to overcome comp...
Presented at 2014 ICSA symposium Program The classical accelerated failure time (AFT) model has been...
Accelerated failure time (AFT) models are alternatives to relative risk models which are used extens...
The proportional hazards (PH) model and the accelerated failure time (AFT) model are the most popula...
In this article, we propose a new rank regression model to extrapolate the product lifetimes at norm...
Abstract Background When boosting algorithms are used for building survival models from high-dimensi...
BACKGROUND: Survival analysis is the most appropriate method of analysis for time-to-event data. The...
Theoretical thesis.Bibliography: pages 55-57.1. Introduction -- 2. Literature Review -- 3. Penalised...
Semiparametric analysis and rank-based inference for the accelerated failure time model are complica...
In survival analysis, semiparametric accelerated failure time (AFT) models directly relate the predi...
A rank-based variable selection procedure is developed for the semiparametric accelerated failure ti...
The classical accelerated failure time (AFT) model has been extensively investigated due to its dire...
In survival analysis, semiparametric accelerated failure time (AFT) models directly relate the predi...
Estimating the covariance matrix of the rank estimators in the accelerated failure time model is com...
In this thesis, we study two methods for inference of parameters in the accelerated failure time mod...
A smoothed rank-based procedure is developed for the accelerated failure time model to overcome comp...
Presented at 2014 ICSA symposium Program The classical accelerated failure time (AFT) model has been...
Accelerated failure time (AFT) models are alternatives to relative risk models which are used extens...
The proportional hazards (PH) model and the accelerated failure time (AFT) model are the most popula...
In this article, we propose a new rank regression model to extrapolate the product lifetimes at norm...
Abstract Background When boosting algorithms are used for building survival models from high-dimensi...
BACKGROUND: Survival analysis is the most appropriate method of analysis for time-to-event data. The...
Theoretical thesis.Bibliography: pages 55-57.1. Introduction -- 2. Literature Review -- 3. Penalised...
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