Results 1 to 10 of about 125,355 (253)
Accelerated failure-time model with weighted least-squares estimation: application on survival of HIV positives [PDF]
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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Weighted Log-Rank Statistics for Accelerated Failure Time Model
This paper improves the sensitivity of the Gρ family of weighted log-rank tests for the accelerated failure time model, accommodating realistic alternatives in survival analysis with censored data, such as heavy censoring and crossing hazards.
Seung-Hwan Lee
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Modeling the recovery time of patients with coronavirus disease 2019 using an accelerated failure time model [PDF]
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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A fully parametric accelerated failure time (AFT) model with a flexible, novel modified exponential Weibull baseline distribution called the extended exponential Weibull accelerated failure time (ExEW-AFT) model is proposed.
Adam Braima S. Mastor +5 more
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Influence of Load on Reliability of Storage Area Networks [PDF]
During the coronavirus pandemic, telecommuting is widely required, making remote data access grow significantly. This requires highly reliable data storage solutions. Storage area networks (SANs) are one of such solutions.
Guixiang Lv, Liudong Xing
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Interval Mapping Using Nonparametric Accelerated Failure Time Cure Model [PDF]
Many important problems in evolutionary biology begin with observations of phenotypic variation. Suppose time to an event-data are used to map quantitative trait loci (QTL) and underlying population is a mixture of susceptible and non-susceptible ...
Devrim Bilgili, Nader Ebrahimi
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Using the Weibull Accelerated Failure Time Regression Model to Predict Time to Health Events
Clinical prediction models are commonly utilized in clinical practice to screen high-risk patients. This enables healthcare professionals to initiate interventions aimed at delaying or preventing adverse medical events.
Enwu Liu, Ryan Yan Liu, Karen Lim
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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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Amoud Class for Hazard-Based and Odds-Based Regression Models: Application to Oncology Studies
The purpose of this study is to propose a novel, general, tractable, fully parametric class for hazard-based and odds-based models of survival regression for the analysis of censored lifetime data, named as the “Amoud class (AM)” of models.
Abdisalam Hassan Muse +5 more
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In Sub-Saharan African countries like Ethiopia, the waiting time for graduates before having their first job is very high. This study aimed at predicting the waiting time to get their first job and the effects of the associated factors.
Belete Adelo Wobse +2 more
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