Results 11 to 20 of about 125,355 (253)

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

open access: yesJournal 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   +1 more
doaj   +3 more sources

Flexible boosting of accelerated failure time models [PDF]

open access: yesBMC 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   +2 more sources

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

open access: yesBMC 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

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

open access: yesPLoS 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]

open access: yesPLoS 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

Predicting Length of Stay among Patients Discharged from the Emergency Department-Using an Accelerated Failure Time Model. [PDF]

open access: yesPLoS ONE, 2017
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 the most ...
Chung-Hsien Chaou   +6 more
doaj   +2 more sources

Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method [PDF]

open access: yesGenomics & Informatics, 2016
Although a large number of genetic variants have been identified to be associated with common diseases through genome-wide association studies, there still exits limitations in explaining the missing heritability.
Seungyeoun Lee   +3 more
doaj   +2 more sources

Semiparametric Accelerated Failure Time Model as a New Approach for Health Science Studies [PDF]

open access: yesIranian Journal of Public Health, 2017
Semiparametric Accelerated Failure Time Model as a New  Approach for Health Science ...
Mostafa KARIMI, Ardalan SHARIAT
doaj   +1 more source

Semiparametric accelerated failure time model estimation with time-varying covariates

open access: yes, 2023
The semiparametric accelerated failure time model is a potential alternative to the popular Cox proportional hazards model, especially when the proportional hazards assumption is violated.
Ding Ma (17185039)
core   +1 more source

Bayesian and frequentist approach for the generalized log-logistic accelerated failure time model with applications to larynx-cancer patients

open access: yesAlexandria Engineering Journal, 2022
The log-normal, log-logistic and Weibull distributions are commonly utilized to model survival data. Unimodal (or non-monotone) failure rate functions are modeled using the log-normal and the log-logistic families, whereas monotone failure rate functions
Abdisalam Hassan Muse   +5 more
doaj   +1 more source

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