Flexible boosting of accelerated failure time models [PDF]
BMC Bioinformatics, 2008 Background When boosting algorithms are used for building survival models from high-dimensional data, it is common to fit a Cox proportional hazards model or to use least squares techniques for fitting semiparametric accelerated failure time models ...
Hothorn Torsten, Schmid Matthias
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A flexible parametric accelerated failure time model and the extension to time-dependent acceleration factors. [PDF]
Biostatistics, 2023 Summary Accelerated failure time (AFT) models are used widely in medical research, though to a much lesser extent than proportional hazards models. In an AFT model, the effect of covariates act to accelerate or decelerate the time to event of interest, that is, shorten or extend the time to event.
Crowther MJ, Royston P, Clements M.
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Transfer learning for accelerated failure time model with microarray data [PDF]
BMC BioinformaticsBackground In microarray prognostic studies, researchers aim to identify genes associated with disease progression. However, due to the rarity of certain diseases and the cost of sample collection, researchers often face the challenge of limited sample ...
Yan-Bo Pei, Zheng-Yang Yu, Jun-Shan Shen
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Mathematics, 2021 An accelerated life test of a product or material consists of the observation of its failure time when it is subjected to conditions that stress the usual ones.
Irene Mariñas-Collado +3 more
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Flexible Parametric Accelerated Failure Time Models With Cure. [PDF]
Biom JABSTRACT Accelerated failure time (AFT) models offer an attractive alternative to Cox proportional hazards models. AFT models are collapsible and, unlike hazard ratios in proportional hazards models, the acceleration factor—a key effect measure in AFT models—is collapsible, meaning its value remains unchanged when
Akynkozhayev B +4 more
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Modeling the recovery time of patients with coronavirus disease 2019 using an accelerated failure time model [PDF]
Journal of International Medical Research, 2021 Objective To identify factors associated with recovery time from coronavirus disease 2019 (COVID-19). Methods In this retrospective study, data for patients with COVID-19 were obtained between 21 June and 30 August 2020. An accelerated failure time (AFT)
Gayathri Thiruvengadam +2 more
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Robust estimation and variable selection for the accelerated failure time model. [PDF]
Stat Med, 2021 This article concerns robust modeling of the survival time for cancer patients. Accurate prediction of patient survival time is crucial to the development of effective therapeutic strategies. To this goal, we propose a unified Expectation‐Maximization approach combined with theL1‐norm penalty to perform variable selection and parameter estimation ...
Li Y, Liang M, Mao L, Wang S.
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Accelerated failure-time model with weighted least-squares estimation: application on survival of HIV positives [PDF]
Archives of Public Health, 2021 Background Survival analysis is the most appropriate method of analysis for time-to-event data. The classical accelerated failure-time model is a more powerful and interpretable model than the Cox proportional hazards model, provided that model imposed ...
Yesuf Abdela Mustefa, Ding-Geng Chen
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Parametric survival model to identify the predictors of breast cancer mortality: An accelerated failure time approach [PDF]
Journal of Research in Medical Sciences, 2020 Background: Breast cancer (BC) was the fifth cause of mortality worldwide in 2015 and second cause of mortality in Iran in 2012. This study aimed to explore factors associated with survival of patients with BC using parametric survival models.
Zeinab Iraji +3 more
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Flexible extension of the accelerated failure time model to account for nonlinear and time-dependent effects of covariates on the hazard. [PDF]
Stat Methods Med Res, 2021 Pang M +3 more
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