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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…
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Keywords:
time;
missing covariates;
accelerated failure;
time models ... See more keywords
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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.…
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Keywords:
model;
inference;
failure time;
accelerated failure ... See more keywords
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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…
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Keywords:
amyloid tau;
curve leftward;
time;
accelerated failure ... See more keywords
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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…
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Keywords:
aft models;
model;
accelerated failure;
failure ... See more keywords
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Published in 2018 at "Journal of Statistical Theory and Practice"
DOI: 10.1080/15598608.2017.1397568
Abstract: Characterized by three parameters, the Weibull extension distribution is introduced by Xie et al. as a generalization of the classical Weibull distribution. In this article, we are interested in the construction of modified chi-squared goodness-of-fit…
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Keywords:
weibull extension;
accelerated failure;
extension;
failure time ... See more keywords
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Published in 2022 at "Biostatistics"
DOI: 10.1093/biostatistics/kxac009
Abstract: 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…
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Keywords:
accelerated failure;
time;
time dependent;
failure time ... See more keywords
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Published in 2023 at "Biostatistics"
DOI: 10.1093/biostatistics/kxac052
Abstract: An important task in survival analysis is choosing a structure for the relationship between covariates of interest and the time-to-event outcome. For example, the accelerated failure time (AFT) model structures each covariate effect as a…
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Keywords:
accelerated failure;
time;
failure time;
model ... See more keywords
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Published in 2018 at "Biostatistics"
DOI: 10.1093/biostatistics/kxy028
Abstract: Individuals often respond differently to identical treatments, and characterizing such variability in treatment response is an important aim in the practice of personalized medicine. In this article, we describe a nonparametric accelerated failure time model…
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Keywords:
treatment effects;
treatment;
failure time;
accelerated failure ... See more keywords
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Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13880
Abstract: This work presents a new model and estimation procedure for the illness-death survival data where the hazard functions follow accelerated failure time (AFT) models. A shared frailty variate induces positive dependence among failure times of…
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Keywords:
accelerated failure;
failure time;
death;
model ... See more keywords
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Published in 2020 at "Journal of Advanced Transportation"
DOI: 10.1155/2020/8894162
Abstract: In the development of effective rear-end collision alarm systems, understanding the factors that influence the perception response times (PRT) of drivers is important for the design of a reasonable lead time for the warning (or…
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Keywords:
response times;
prt drivers;
time;
model ... See more keywords
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Published in 2017 at "PLoS ONE"
DOI: 10.1371/journal.pone.0165756
Abstract: Background Emergency department (ED) crowding continues to be an important health care issue in modern countries. Among the many crucial quality indicators for monitoring the throughput process, a patient’s length of stay (LOS) is considered…
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Keywords:
patients discharged;
time;
emergency department;
model ... See more keywords