Results 11 to 20 of about 172,693 (257)
Generalized Accelerated Failure Time Models for Recurrent Events
Mathematics, 2022 For analyzing recurrent event data, we consider a generalization of the classical accelerated failure time model. In the proposed approach, the general function is no longer assumed to be a singleton but allowed to be time-varying.
Xiaoyi Wen, Jinfeng Xu
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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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Accelerating mean time to failure computations [PDF]
Performance Evaluation, 1996 Summary: We consider the problem of numerical computation of the mean time to failure (MTTF) in Markovian dependability and/or performance models. The problem can be cast as a system of linear equations which is solved using an iterative method preserving sparsity of the Markov chain matrix. For highly dependable systems, system failure is a rare event
Heidelberger, P. +2 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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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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Regularized Estimation for the Accelerated Failure Time Model [PDF]
Biometrics, 2009 SummaryIn the presence of high‐dimensional predictors, it is challenging to develop reliable regression models that can be used to accurately predict future outcomes. Further complications arise when the outcome of interest is an event time, which is often not fully observed due to censoring.
Cai, T., Huang, J., Tian, L.
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Survival analysis of women breast cancer patients in Northwest Amhara, Ethiopia
Frontiers in Oncology, 2022 IntroductionBreast cancer, the most common cause of cancer death and the most frequently diagnosed cancer among women worldwide, ranks as the second cause of death next to lung cancer.
Bereket Feleke +3 more
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Predictive influence in the accelerated failure time model [PDF]
Biostatistics, 2002 We develop case deletion diagnostics for prediction of future observations in the accelerated failure time model. We view prediction to be an important inferential goal in a survival analysis and thus it is important to identify whether particular observations may be influencing the quality of predictions.
Bedrick, Edward J. +3 more
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Indian Perspectives on Graft Materials Used for Repair of Tympanic Membrane [PDF]
Journal of Clinical and Diagnostic Research, 2017 Introduction: Repair of Tympanic Membrane (TM) is one of the most common surgeries performed by the otologists. Literature reveals that Indian surgeons have contributed substantially in the research on techniques and graft materials used for the ...
Manu Malhotra +3 more
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Frontiers in Oncology, 2021 ObjectiveThe exact role of the extent of resection or residual tumor volume on overall survival in glioblastoma patients is still controversial. Our aim was to create a statistical model showing the association between resection extent/residual tumor ...
Marco Skardelly +24 more
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