Results 41 to 50 of about 614,587 (286)
Nonparametric Estimation in the Cox Model
The Annals of Statistics, 1993 Using multivariate counting processes the paper derives nonparametric estimators of the relative risk in a generalized Cox regression model with covariates. The estimators are derived using the penalized partial likelihood approach. The paper considers the asymptotic convergence of these estimators in the Sobolev \(W^{bm}_ 2\) norm and obtains upper ...
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Molecular Oncology, EarlyView.In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
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, 1998 Bimonthly magazine discussing topics related to aviation and model airplane engines including collecting, restoring, maintaining, and identifying engines, along with ...
The Model Museum, Dannels, Timothy J.
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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
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MODEL REGRESI COX PROPORSIONAL HAZARD PADA DATA KETAHANAN HIDUP
Media Statistika, 2013 A lot of events occured in daily life are connected with survival time, for example a time interval that measure the failure of a product, time duration which is needed to recover from disease, the back pain recurred after treatment.
Tuan Hanni, Triastuti Wuryandari
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A Cox model for gradually disappearing events
Probability in the Engineering and Informational Sciences, 2021 AbstractInnovations in medicine provide us longer and healthier life, leading lower mortality. Sooner rather than later, much greater longevity would be possible for us due to artificial intelligence advances in health care. Similarly, Advanced Driver Assistance Systems (ADAS) in highly automated vehicles may reduce or even eventually eliminate ...
Jiwook Jang +3 more
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Molecular Oncology, EarlyView.Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
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Molecular Oncology, EarlyView.Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
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Testing and interpreting assumptions of COX regression analysis
Cancer Research, Statistics, and Treatment, 2019 The COX regression analysis is like any statistical test that is based on multiple assumptions. This is a guide for how to test the assumptions and how to interpret the results.
Sampada Dessai, Vijay Patil
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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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