deepAFT: A nonlinear accelerated failure time model with artificial neural network
Sign Up to like & getrecommendations! Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10152
Abstract: The Cox regression model or accelerated failure time regression models are often used for describing the relationship between survival outcomes and potential explanatory variables. These models assume the studied covariates are connected to the survival… read more here.
Keywords: failure time; time; regression; model ... See more keywords
Optimal subsampling for semi‐parametric accelerated failure time models with massive survival data using a rank‐based approach
Sign Up to like & getrecommendations! Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10200
Abstract: Subsampling is a practical strategy for analyzing vast survival data, which are progressively encountered across diverse research domains. While the optimal subsampling method has been applied to inferences for Cox models and parametric accelerated failure… read more here.
Keywords: parametric accelerated; failure time; time; survival data ... See more keywords
Leveraging External Aggregated Information for the Marginal Accelerated Failure Time Model
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DOI: 10.1002/sim.10224
Abstract: It is becoming increasingly common for researchers to consider leveraging information from external sources to enhance the analysis of small‐scale studies. While much attention has focused on univariate survival data, correlated survival data are prevalent… read more here.
Keywords: information; failure time; time model; accelerated failure ... See more keywords
A Nonparametric Regression Calibration for the Accelerated Failure Time Model With Measurement Error
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DOI: 10.1002/sim.10299
Abstract: Accelerated failure time models are appealing due to their intuitive interpretation. However, when covariates are subject to measurement errors, naive estimation becomes severely biased. To address this issue, the regression calibration (RC) approach is a… read more here.
Keywords: failure time; regression calibration; measurement error; accelerated failure ... See more keywords
Strategies for imputing missing covariates in accelerated failure time models.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7809
Abstract: Missing covariates often occur in biomedical studies with survival outcomes. Multiple imputation via chained equations (MICE) is a semi-parametric and flexible approach that imputes multivariate data by a series of conditional models, one for each… read more here.
Keywords: time; missing covariates; accelerated failure; time models ... See more keywords
Subsampling approach for least squares fitting of semi-parametric accelerated failure time models to massive survival data
Sign Up to like & getrecommendations! Published in 2024 at "Statistics and Computing"
DOI: 10.1007/s11222-024-10391-y
Abstract: Massive survival data are increasingly common in many research fields, and subsampling is a practical strategy for analyzing such data. Although optimal subsampling strategies have been developed for Cox models, little has been done for… read more here.
Keywords: failure time; time; massive survival; survival data ... See more keywords
Jackknife empirical likelihood inference for the accelerated failure time model
Sign Up to like & getrecommendations! Published in 2019 at "TEST"
DOI: 10.1007/s11749-018-0601-7
Abstract: Accelerated failure time (AFT) model is a useful semi-parametric model under right censoring, which is an alternative to the commonly used proportional hazards model. Making statistical inference for the AFT model has attracted considerable attention.… read more here.
Keywords: model; inference; failure time; accelerated failure ... See more keywords
Relationships between β-amyloid and tau in an elderly population: An accelerated failure time modelww
Sign Up to like & getrecommendations! Published in 2021 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2021.118440
Abstract: Using positron emission tomography (PET)-derived amyloid and tau measurements from 1,495 participants, we explore the evolution of these values over time via an accelerated failure time (AFT) model. The AFT model assumes a shared pattern… read more here.
Keywords: amyloid tau; curve leftward; time; accelerated failure ... See more keywords
Optimal distributed subsampling for accelerated failure time models with massive censored data
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2025.2495717
Abstract: The availability of massive data stored across multiple locations is increasing in many fields. The data at each site often exhibits large-scale features. Current research primarily focuses on such datasets that consist of uncensored observations.… read more here.
Keywords: failure time; accelerated failure; model; distributed subsampling ... See more keywords
Accelerated failure time analysis for industrial life modeling in presence of unknown dependent and independent censoring
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DOI: 10.1080/08982112.2025.2462111
Abstract: Abstract Industrial lifetime testing is one of the key procedures for industrial engineers to assess the quality of products or materials. Reliability analysis is hampered by data incompleteness resulting from multiple failure types, with only… read more here.
Keywords: failure time; analysis; time analysis; model ... See more keywords
Flexible parametric accelerated failure time model.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of biopharmaceutical statistics"
DOI: 10.1080/10543406.2021.1934854
Abstract: 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… read more here.
Keywords: aft models; model; accelerated failure; failure ... See more keywords