Results 51 to 60 of about 614,587 (286)
Communications for Statistical Applications and Methods, 2017 The most popular regression model for the analysis of time-to-event data is the Cox proportional hazards model. While the model specifies a parametric relationship between the hazard function and the predictor vari-ables, there is no specification regarding the form of the baseline hazard function.
Yishu Xue, Elizabeth D. Schifano
openaire +2 more sources
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
openaire +4 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
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
doaj +1 more source
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Healthcare Analytics, 2023 There are potentially infinite gene expression markers for Lung Squamous Cell Carcinoma. This results in a high-dimensional data with a large number of features. The selection of relevant markers for analysis is thus, of utmost importance.
Atanu Bhattacharjee +2 more
doaj +1 more source
Molecular Oncology, EarlyView.Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi +14 more
wiley +1 more source
Tumor B‐cell infiltration in platinum‐treated advanced muscle‐invasive urothelial carcinoma
Molecular Oncology, EarlyView.Bladder tumors with higher pretreatment memory B‐cell infiltration were linked to longer survival after cisplatin chemotherapy, but not carboplatin. These tumors also showed more organized immune structures (tertiary lymphoid structures) and a shared pro‐inflammatory B‐cell‐rich community, suggesting that memory B cells may help identify patients most ...
Konrad Stawiski +10 more
wiley +1 more source
Subgroup Discovery with the Cox Model
CoRR43 pages, 2 ...
Zachary Izzo, Iain Melvin
openaire +2 more sources
Bias Of The Cox Model Hazard Ratio [PDF]
Journal of Modern Applied Statistical Methods, 2005 In recent decades, survival analysis techniques have been extended far beyond the medical, biomedical, and reliability research areas to fields such as engineering, criminology, sociology, marketing, insurance, economics, etc. The study of survival data has previously focused on predicting the probability of response, survival, or mean lifetime, and ...
Persson, Inger, Khamis, Harry J.
openaire +2 more sources