Results 91 to 100 of about 228,669 (304)
A series of testing statistics for analysis of current status data [PDF]
, 2012 [[abstract]]Current status data arise when the failure time of interest is unable to observe. The observation consists only of a monitoring time and knowledge of whether the failure time occurred before or after the monitoring time.
Huang, Sheng-Yuan, 黃聖原
core
Bayesian hazards ratio with their corresponding credible intervals using the Cox proportional hazards regression model. [PDF]
, 2018 Bayesian hazards ratio with their corresponding credible intervals using the Cox proportional hazards regression model.
Hoda Ragab Rezk (5879666) +3 more
core +1 more source
Molecular Oncology, EarlyView.Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Weighted Cox Regression Using the R Package coxphw
Journal of Statistical Software, 2018 Cox's regression model for the analysis of survival data relies on the proportional hazards assumption. However, this assumption is often violated in practice and as a consequence the average relative risk may be under- or overestimated.
Daniela Dunkler +3 more
doaj +1 more source
Likelihood-Based Estimation of a Proportional-Hazard, Competing- Risk Model with Grouped Duration Data [PDF]
This short paper demonstrates two important results related to the estimation of competing-risk models under the proportional-hazards assumption with grouped duration data.
Mark Yuying An
core
Proportional hazards model : a review [PDF]
, 1994 The proportional hazards model was introduced in 1972 by D. R. Cox in order to estimate the effects of different covariates influencing the times to the failures of a system.
Kumar, Dhananjay, Klefsjö, Bengt,
core +1 more source
Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
Molecular Oncology, EarlyView.The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
Identification of a Specific Gene Module for Predicting Prognosis in Glioblastoma Patients
Frontiers in Oncology, 2019 Introduction: Glioblastoma (GBM) is the most common and malignant variant of intrinsic glial brain tumors. The poor prognosis of GBM has not significantly improved despite the development of innovative diagnostic methods and new therapies.
Xiangjun Tang +14 more
doaj +1 more source
Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Cox proportional hazards model of progression (multivariate analysis). [PDF]
, 2016 Cox proportional hazards model of progression (multivariate analysis).
Seung Hoon Kim (3239367) +5 more
core +1 more source