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Spline‐based accelerated failure time model
Statistics in Medicine, 2020The accelerated failure time (AFT) model has been suggested as an alternative to the Cox proportional hazards model. However, a parametric AFT model requires the specification of an appropriate distribution for the event time, which is often difficult to identify in real‐life studies and may limit applications.
Menglan Pang +3 more
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Accelerated failure time modeling via nonparametric mixtures
Biometrics, 2021AbstractAn accelerated failure time (AFT) model assuming a log‐linear relationship between failure time and a set of covariates can be either parametric or semiparametric, depending on the distributional assumption for the error term. Both classes of AFT models have been popular in the analysis of censored failure time data.
Byungtae Seo, Sangwook Kang
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Flexible parametric accelerated failure time model
Journal of Biopharmaceutical Statistics, 2021Accelerated Failure Time (AFT) models are viable alternatives to the Cox proportional hazard model, where failure times are explicitly modelled with respect to covariates. A major problem with parametric AFT models in practice is that statistical distribution used there often have a limited range of shapes, which may be inadequate to cope with real ...
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ℓ0-Regularized high-dimensional accelerated failure time model
Computational Statistics & Data Analysis, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cheng, Chao +4 more
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A Bayesian Semiparametric Accelerated Failure Time Model
Biometrics, 1999Summary.A Bayesian semiparametric approach is described for an accelerated failure time model. The error distribution is assigned a Polya tree prior and the regression parameters a noninformative hierarchical prior. Two cases are considered: the first assumes error terms are exchangeable; the second assumes that error terms are partially exchangeable ...
Walker, Stephen, Mallick, Bani K.
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ACCELERATED FAILURE TIME MODELS WITH NONLINEAR COVARIATES EFFECTS
Australian & New Zealand Journal of Statistics, 2007SummaryAs a flexible alternative to the Cox model, the accelerated failure time (AFT) model assumes that the event time of interest depends on the covariates through a regression function. The AFT model with non‐parametric covariate effects is investigated, when variable selection is desired along with estimation.
Leng, C., Ma, S.
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The Accelerated Failure Time Model Under Biased Sampling
Biometrics, 2010Summary Chen (2009, Biometrics) studies the semi‐parametric accelerated failure time model for data that are size biased. Chen considers only the uncensored case and uses hazard‐based estimation methods originally developed for censored observations. However, for uncensored data, a simple linear regression on the log scale is more natural and provides
Micha, Mandel, Ya'akov, Ritov
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Robust estimation in accelerated failure time models
Lifetime Data Analysis, 2018The accelerated failure time model is widely used for analyzing censored survival times often observed in clinical studies. It is well-known that the ordinary maximum likelihood estimators of the parameters in the accelerated failure time model are generally sensitive to potential outliers or small deviations from the underlying distributional ...
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A Bayesian semiparametric accelerate failure time mixture cure model
The International Journal of Biostatistics, 2021Abstract The accelerated failure time mixture cure (AFTMC) model is widely used for survival data when a portion of patients can be cured. In this paper, a Bayesian semiparametric method is proposed to obtain the estimation of parameters and density distribution for both the cure probability and the survival distribution of the uncured ...
Wang, Yijun, Wang, Weiwei, Tang, Yincai
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A semi‐parametric accelerated failure time cure model
Statistics in Medicine, 2002AbstractA cure model is a useful approach for analysing failure time data in which some subjects could eventually experience, and others never experience, the event of interest. A cure model has two components: incidence which indicates whether the event could eventually occur and latency which denotes when the event will occur given the subject is ...
Chin-Shang, Li, Jeremy M G, Taylor
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