Results 11 to 20 of about 519,139 (282)
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
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Nonparametric identification of accelerated failure time competing risks models [PDF]
Econometric Theory, 2010 We provide new conditions for identification of accelerated failure time competing risks models. These include Roy models and some auction models. In our set up, unknown regression functions and the joint survivor function of latent disturbance terms are
Arthur Lewbel, Sokbae 'Simon' Lee
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Reliability Modeling Method for Constant Stress Accelerated Degradation Based on the Generalized Wiener Process [PDF]
EntropyThis paper aims to improve the accuracy of reliability estimates and the failure time prediction for products exhibiting nonlinear degradation behavior under constant-stress accelerated degradation test (CSADT). To achieve this, a novel degradation model
Shanshan Li, Zaizai Yan, Junmei Jia
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Weighted Log-Rank Statistics for Accelerated Failure Time Model
Stats, 2021 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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Influence of Load on Reliability of Storage Area Networks [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2021 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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Using the Weibull Accelerated Failure Time Regression Model to Predict Time to Health Events
Applied Sciences, 2023 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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Re: Spline‐based accelerated failure time model
Statistics in Medicine, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mark Clements +3 more
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Interval Mapping Using Nonparametric Accelerated Failure Time Cure Model [PDF]
Journal of Statistical Theory and Applications (JSTA), 2013 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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Multi-threshold accelerated failure time model [PDF]
The Annals of Statistics, 2018 A two-stage procedure for simultaneously detecting multiple thresholds and achieving model selection in the segmented accelerate failure time (AFT) model is developed in this paper. In the first stage, we formulate the threshold problem as a group model selection problem so that a concave 2-norm group selection method can be applied.
Li, Jialiang, Jin, Baisuo
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Variable selection and estimation for accelerated failure time model via seamless-L0 penalty
AIMS Mathematics, 2023 Survival data with high dimensional covariates have been collected in medical studies and other fields. In this work, we propose a seamless $ L_0 $ (SELO) penalized method for the accelerated failure time (AFT) model under the framework of high dimension.
Yin Xu, Ning Wang
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