Results 241 to 250 of about 628,696 (290)

Flexible parametric accelerated failure time model

Journal of Biopharmaceutical Statistics, 2021
Accelerated 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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A Bayesian Semiparametric Accelerated Failure Time Model

Biometrics, 1999
Summary.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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ℓ0-Regularized high-dimensional accelerated failure time model

Computational Statistics & Data Analysis, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cheng, Chao, Feng, Xingdong, Huang, Jian, Jiao, Yuling, Zhang, Shuang   +4 more
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ACCELERATED FAILURE TIME MODELS WITH NONLINEAR COVARIATES EFFECTS

Australian & New Zealand Journal of Statistics, 2007
SummaryAs 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, 2010
Summary 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, 2018
The 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 semi‐parametric accelerated failure time cure model

Statistics in Medicine, 2002
AbstractA 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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Using Frailties in the Accelerated Failure Time Model

Lifetime Data Analysis, 2001
The 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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Modelling Accelerated Failure Time with a Dirichlet Process

Biometrika, 1988
The 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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Semiparametric Accelerated Failure Time Modeling for Clustered Failure Times From Stratified Sampling

Journal of the American Statistical Association, 2015
Clustered failure times often arise from studies with stratified sampling designs where it is desired to reduce both cost and sampling error. Semiparametric accelerated failure time (AFT) models have not been used as frequently as Cox relative risk models in such settings due to lack of efficient and reliable computing routines for inferences.
Sy Han Chiou, Sangwook Kang, Jun Yan
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