Results 51 to 60 of about 1,415,363 (344)
Expected Survival in the Cox Model
Scandinavian Journal of Statistics, 1997 The survival in a group of patients is calculated using a Kaplan–Meier curve and the hypothesis that the survival can be predicted by a specified Cox hazard is studied. This Cox hazard is obtained from a previous study of similar patients. A simple test of the hypothesis is constructed by comparing a suitable average of the individual predicted ...
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Oracle inequalities for the lasso in the Cox model
The Annals of Statistics, 2013 We study the absolute penalized maximum partial likelihood estimator in sparse, high-dimensional Cox proportional hazards regression models where the number of time-dependent covariates can be larger than the sample size. We establish oracle inequalities based on natural extensions of the compatibility and cone invertibility factors of the Hessian ...
Huang, Jian +4 more
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Molecular Oncology, EarlyView.There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes +20 more
wiley +1 more source
Wiener Chaos and the Cox-Ingersoll-Ross model [PDF]
, 2003 In this we paper we recast the Cox--Ingersoll--Ross model of interest rates into the chaotic representation recently introduced by Hughston and Rafailidis.
Grasselli, M. R., Hurd, T. R.
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Structured estimation for the nonparametric Cox model
Electronic Journal of Statistics, 2015 To better understand the interplay of censoring and sparsity we develop finite sample properties of nonparametric Cox proportional hazard's model. Due to high impact of sequencing data, carrying genetic information of each individual, we work with over-parametrized problem and propose general class of group penalties suitable for sparse structured ...
Bradic, Jelena, Song, Rui
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Molecular Oncology, EarlyView.Alectinib resistance in ALK+ NSCLC depends on treatment sequence and EML4‐ALK variants. Variant 1 exhibited off‐target resistance after first‐line treatment, while variant 3 and later lines favored on‐target mutations. Early resistance involved off‐target alterations, like MET and NF2, while on‐target mutations emerged with prolonged therapy.
Jie Hu +11 more
wiley +1 more source
Particle Swarm Optimization for Penalize cox models in long-term prediction of breast cancer data
Iraqi Journal for Computer Science and Mathematics, 2023 The particle swarm optimization algorithm (PSO) was applied to penalize the Cox model for predicting long-term outcomes of breast cancer patients.
Ehab Abbas, Basad Al-Sarray
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Molecular Oncology, EarlyView.Comprehensive analysis of genomic mutations, gene expression, DNA methylation, and pathway analysis of TCGA data was carried out to define cancer types in which proteasome subunits expression is associated with worse survival. Albeit the effect of specific proteasome subunits on cellular function, the main role of the proteasome is better evaluated ...
Ruba Al‐Abdulla +5 more
wiley +1 more source
پزشکی بالینی ابن سینا, 2015 Introduction & Objective: Gastric cancer is the forth common cancer and second cause of death. Surgery is the primary treatment of gastric cancer and chemotherapy and radiotherapy is used as supplementary treatments.
Mohammadreza Javadi +4 more
doaj
From Transience to Recurrence for Cox–Ingersoll–Ross Model When b < 0
Mathematics, 2023 We consider the Cox–Ingersoll–Ross (CIR) model in time-dependent domains, that is, the CIR process in time-dependent domains reflected at the time-dependent boundary.
Mingli Zhang, Gaofeng Zong
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