Results 21 to 30 of about 1,415,363 (344)

Metalworking fluids and cancer mortality in a US autoworker cohort (1941–2015)

open access: yesScandinavian Journal of Work, Environment & Health, 2020
OBJECTIVES: This report describes the extended follow-up (1941–2015) of a cohort of 38 549 automobile manufacturing workers with potential exposure to metalworking fluids (MWF).
Sadie Costello   +4 more
doaj   +1 more source

Generating Survival Times to Simulate Cox Proportional Hazards Models [PDF]

open access: yes, 2003
This paper discusses techniques to generate survival times for simulation studies regarding Cox proportional hazards models. In linear regression models, the response variable is directly connected with the considered covariates, the regression ...
Augustin, Thomas   +2 more
core   +2 more sources

Ku80 cooperates with CBP to promote COX-2 expression and tumor growth. [PDF]

open access: yes, 2015
Cyclooxygenase-2 (COX-2) plays an important role in lung cancer development and progression. Using streptavidin-agarose pulldown and proteomics assay, we identified and validated Ku80, a dimer of Ku participating in the repair of broken DNA double ...
Chen, Yiming   +23 more
core   +3 more sources

Cox's Periodic Regression Model

open access: yesThe Annals of Statistics, 1988
Cox's regression model has been successfully used for censored survival data. It can be adapted to model a counting process having a periodic underlying intensity. In survival analysis, the asymptotic properties, as studied by \textit{P. K. Andersen} and \textit{R. D. Gill} [ibid.
Pons, O., de Turckheim, E.
openaire   +4 more sources

Machine Learning Predictive Models for Survival in Patients with Brain Stroke [PDF]

open access: yesHealth Promotion Perspectives
Background: This study aims to harness the predictive power of machine learning (ML) algorithms for accurately predicting mortality and survival outcomes in brain stroke (BS) patients.
Solmaz Norouzi   +6 more
doaj   +1 more source

Analysis of significant factors on cable failure using the Cox proportional hazard model [PDF]

open access: yes, 2014
This paper proposes the use of the Cox proportional hazard model (Cox PHM), a statistical model, for the analysis of early-failure data associated with power cables.
Alkali, Babakalli   +7 more
core   +1 more source

Rcf1 and Rcf2, Members of the Hypoxia-induced Gene 1 Protein Family, Are Critical Components of the Mitochondrial Cytochrome bc1-cytochrome Oxidase Supercomplex [PDF]

open access: yes, 2012
We report that Rcf1 (formerly Aim31), a member of the conserved hypoxia-induced gene 1 (Hig1) protein family, represents a novel component of the yeast cytochrome bc1-cytochrome c oxidase (COX) supercomplex.
Furness, Andrew   +4 more
core   +2 more sources

Cox regression survival analysis with compositional covariates: application to modelling mortality risk from 24-h physical activity patterns [PDF]

open access: yes, 2020
Survival analysis is commonly conducted in medical and public health research to assess the association of an exposure or intervention with a hard end outcome such as mortality. The Cox (proportional hazards) regression model is probably the most popular
Chastin, S.F.M.   +4 more
core   +1 more source

Model Uncertainty Quantification in Cox Regression

open access: yesBiometrics, 2023
Abstract We consider covariate selection and the ensuing model uncertainty aspects in the context of Cox regression. The perspective we take is probabilistic, and we handle it within a Bayesian framework. One of the critical elements in variable/model selection is choosing a suitable prior for model parameters.
Gonzalo García-Donato   +2 more
openaire   +3 more sources

Parsimonious modelling of winter season rainfall incorporating reanalysis climatological data

open access: yesHydrology Research, 2018
Several Markov modulated Poisson process (MMPP) models are developed to describe winter season rainfall with parsimonious parameter use. We propose a methodology for determining the best form of seasonal model for fine-scale rainfall within a MMPP ...
Andrew P. Garthwaite, N. I. Ramesh
doaj   +1 more source

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