Results 51 to 60 of about 1,497,781 (343)
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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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.Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +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
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Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Molecular Oncology, EarlyView.Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
Analysis of overfitting in the regularized Cox model [PDF]
Journal of Physics A: Mathematical and Theoretical, 2019 Abstract The Cox proportional hazards model is ubiquitous in the analysis of time-to-event data. However, when the data dimension p is comparable to the sample size N , maximum likelihood estimates for its regression parameters are ...
Mansoor Sheikh, Anthony C C Coolen
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Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
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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Estimates of influenza vaccine effectiveness in primary care in Scotland vary with clinical or laboratory endpoint and method : experience across the 2010/11 season [PDF]
, 2013 Aim: This study examines estimation of seasonal influenza vaccine effectiveness (VE) for a cohort of patients attending general practice in Scotland in 2010/11.
Kavanagh, Kimberley +2 more
core +3 more sources