Results 61 to 70 of about 426,709 (217)
Prognostic Factors in Patients With Colorectal Cancer at Hospital Universiti Sains Malaysia
Asian Journal of Surgery, 2010 To determine the 5-year survival rate and prognostic factors for survival in patients with colorectal cancer treated at the Surgical Unit, Hospital Universiti Sains Malaysia (HUSM), Kelantan, Malaysia.
Anis Kausar Ghazali +3 more
doaj +1 more source
Partially linear censored quantile regression [PDF]
, 2009 Censored regression quantile (CRQ) methods provide a powerful and flexible approach to the analysis of censored survival data when standard linear models are felt to be appropriate.
B Honore +17 more
core +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
BMC Geriatrics, 2021 Background Assessment the impact of disability on mortality among the elderly is vital to healthy ageing. The present study aimed to assess the long-term influence of disability on death in the elderly based on a longitudinal study.
Yang Yang +5 more
doaj +1 more source
Pretreatment prognostic value of dynamic contrast-enhanced magnetic resonance imaging vascular, texture, shape, and size parameters compared with traditional survival indicators obtained from locally advanced breast cancer patients [PDF]
, 2015 Objectives: The aim of this study was to determine if associations exist between pretreatment dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI)-based metrics (vascular kinetics, texture, shape, size) and survival intervals.
Gibbs, Peter +2 more
core +1 more source
A Bayesian Approach for the Cox Proportional Hazards Model with Covariates Subject to Detection Limit. [PDF]
Int J Stat Med Res, 2014 The research on biomarkers has been limited in its effectiveness because biomarker levels can only be measured within the thresholds of assays and laboratory instruments, a challenge referred to as a detection limit (DL) problem.
Chen Q, Wu H, Ware LB, Koyama T.
europepmc +2 more sources
Implementation of complex interactions in a Cox regression framework [PDF]
, 2003 The standard Cox proportional hazards model has been extended by functionally describable interaction terms. The first of which are related to neural networks by adopting the idea of transforming sums of weighted covariables by means of a logistic ...
Müller, M., Ulm, Kurt
core +2 more sources
Tuberculosis Research and Treatment, 2014 Introduction. Tuberculosis (TB) is a chronic infectious disease and mainly caused by mycobacterium tuberculosis (MTB). It has been one of the major causes of mortality in Ethiopia.
Kabtamu Tolosie, M. Sharma
semanticscholar +1 more source
BMC Medical Research Methodology, 2010 BackgroundThe appropriate handling of missing covariate data in prognostic modelling studies is yet to be conclusively determined. A resampling study was performed to investigate the effects of different missing data methods on the performance of a ...
Andrea Marshall, D. Altman, R. Holder
semanticscholar +1 more source
Lithuanian Journal of Statistics, 2019 We investigate linear and nonlinear hypotheses testing in a Cox proportional hazards model for right-censored survival data when the covariates are subject to measurement errors. In Kukush and Chernova (2018) [Theor. Probability and Math. Statist.
Oksana Chernova, Alexander Kukush
doaj +1 more source