Results 71 to 80 of about 1,497,781 (343)
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
wiley +1 more source
Stratified Cox Model with Interactions in Analysis of Recurrent Events
Acta Universitatis Lodziensis. Folia Oeconomica, 2018 The purpose of this paper is the assessment of relative intensity of exit from registered unemployment by means of the analysis of recurrent survival episodes and the comparison of these results with the results obtained for an individual episode.
Beata Bieszk‑Stolorz
doaj +1 more source
Bias of Maximum-Likelihood estimates in logistic and Cox regression models: A comparative simulation study [PDF]
, 2003 Parameter estimates of logistic and Cox regression models are biased for finite samples. In a simulation study we investigated for both models the behaviour of the bias in relation to sample size and further parameters.
Bender, R. +4 more
core +2 more sources
Molecular Oncology, EarlyView.Both cg12821679MAPRE3 methylation and MAPRE3 expression are significantly associated with overall survival (OS) of non‐small cell lung cancer. Meanwhile, MAPRE3 expression significantly modified the effect of smoking cessation on OS. Smoking cessation benefits OS merely for patients with high MAPRE3 expression.
Chao Chen +14 more
wiley +1 more source
A Cox Model-Based Workflow for Increased Accuracy in Activity-Travel Patterns Generation
Applied SciencesUnderstanding how people spend time on daily activities is key to modeling travel behavior. However, accurately estimating the duration of these activities remains a significant challenge, especially when generating synthetic activity-travel data.
Dionysios Katsaitis +2 more
doaj +1 more source
Uncertain Box-Cox Regression Analysis With Rescaled Least Squares Estimation
IEEE Access, 2020 Under the uncertain statistical framework by Liu [19], there is still a lack of an effective fitting method for uncertain linear models with Box-Cox transformation of response variables.
Shiqin Liu +3 more
doaj +1 more source
Aplikasi Model Proportional Hazard Cox pada Waktu Tunggu Kerja Lulusan Jurusan Matematika Fakultas MIPA Universitas Sriwijaya [PDF]
, 2014 Penelitian ini bertujuan untuk (1) menentukan nilai peluang dari waktu mendapatkan pekerjaan per-tama lulusan, (2) mengetahui bagaimana pengaruh beberapa karateristik terhadap waktu mendapatkan pe-kerjaan pertama lulusan dengan menerapkan model ...
Amran, A. (Ali) +2 more
core
Asymptotic theory for the Cox model with missing time-dependent covariate
, 2006 The relationship between a time-dependent covariate and survival times is usually evaluated via the Cox model. Time-dependent covariates are generally available as longitudinal data collected regularly during the course of the study.
Dupuy, Jean-François +2 more
core +2 more sources
FEBS Open Bio, EarlyView.Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold +11 more
wiley +1 more source
Наука и инновации в медицинеAim – to compare the predictive accuracy of Cox regression and machine learning (ML) methods regarding recurrence-free survival in patients with locally advanced renal cell carcinoma after radical treatment.
Musabek K. Mirzabekov +4 more
doaj +1 more source