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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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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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Reliability Analysis of Low-Voltage Metal-Oxide Surge Arresters Using Accelerated Failure Time Model [PDF]
IEEE Transactions on Power Delivery, 2018 : Failure progression of metal oxide-based surge arresters in response to exposure to harmonics is modelled using the accelerated failure time model. Multi-stress accelerated ageing tests, with and without AC distorted voltage stress, are conducted on ...
Pitshou N Bokoro, Wesley Doorsamy
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Modelling Accelerated Failure Time with a Dirichlet Process
Biometrika, 1988The relationship between survival times \(T=(T_ 1,...,T_ n)\) and covariates \(x_ i=(1,x_{i1},...,x_{ip})\) is modelled via the accelerated failure time model \(T_ i=\exp (-x_ i\beta)V_ i,\) where \(\beta\) is a vector of fixed unknown regression coefficients, and \(V\equiv (V_ 1,...,V_ n)\) is a random sample of size n from some distribution P.
Christensen, Ronald, Johnson, Wesley
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Using Frailties in the Accelerated Failure Time Model
Lifetime Data Analysis, 2001The accelerated failure time (AFT) model is an important alternative to the Cox proportional hazards model (PHM) in survival analysis. For multivariate failure time data we propose to use frailties to explicitly account for possible correlations (and heterogeneity) among failure times. An EM-like algorithm analogous to that in the frailty model for the
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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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ℓ0-Regularized high-dimensional accelerated failure time model
Computational Statistics & Data Analysis, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chao Cheng +4 more
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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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Calibration of Proportional Hazards and Accelerated Failure Time Models
Communications in Statistics - Simulation and Computation, 2012Given a prognostic model based on one population, one may ask: Can this model be used to accurately predict disease in a different population? When the underlying rate of disease differs in the new population, the model must be calibrated. van Houwelingen (2000) considered this calibration problem focusing on proportional hazards models.
Jeannette Simino +2 more
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Nonparametric Analysis of an Accelerated Failure Time Model
Biometrika, 1981SUMMARY Survival distributions can be characterized by and compared through their hazard functions. Tests using a proportional hazards model have good power if the two hazards do not cross, but without time-dependent covariates can have low power if they do.
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