Results 1 to 10 of about 123,932 (153)

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, Ravanan Ramanujam, Lakshmi Marappa   +2 more
doaj   +2 more sources

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
doaj   +2 more sources

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
doaj   +4 more sources

Transfer learning for accelerated failure time model with microarray data [PDF]

BMC Bioinformatics
Background 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
doaj   +2 more sources

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.
europepmc   +3 more sources

Statistical Analysis on Time to Blindness of Glaucoma Patients at Jimma University Specialized Hospital: Application of Accelerated Failure Time Model [PDF]

Journal of Ophthalmology, 2022
Background. Glaucoma is one of the most frequent vision-threatening eye diseases. It is frequently associated with excessive intraocular pressure (IOP), which can cause vision loss and damaged optic nerves.
Meseret Mesfin Bambo, Meskerem Getachew Gebremariam   +1 more
doaj   +2 more sources

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.
europepmc   +6 more sources

Case–Cohort Analysis with Accelerated Failure Time Model [PDF]

Biometrics, 2009
Summary In a case–cohort design, covariates are assembled only for a subcohort that is randomly selected from the entire cohort and any additional cases outside the subcohort. This design is appealing for large cohort studies of rare disease, especially when the exposures of interest are expensive to ascertain for all the subjects.
Kong, Lan, Cai, Jianwen
openaire   +5 more sources

Weighted estimation of the accelerated failure time model in the presence of dependent censoring. [PDF]

PLoS ONE, 2015
Independent censoring is a crucial assumption in survival analysis. However, this is impractical in many medical studies, where the presence of dependent censoring leads to difficulty in analyzing covariate effects on disease outcomes.
Youngjoo Cho, Debashis Ghosh
doaj   +2 more sources

An empirical analysis of post-work grocery shopping activity duration using modified accelerated failure time model to differentiate time-dependent and time-independent covariates. [PDF]

PLoS ONE, 2018
In this paper, the accelerated failure time (AFT) model is modified to analyze post-work grocery shopping activity duration. Much previous shopping duration analysis was conducted using the proportional hazard (PH) modeling approach.
Ke Wang, Xin Ye, Jie Ma
doaj   +2 more sources