Results 31 to 40 of about 23,378,967 (385)

Ten-year predictors of major adverse cardiovascular events in patients without angina

open access: yesSouth African Family Practice, 2023
Background: Longstanding cardiovascular risk factors cause major adverse cardiovascular events (MACE). Major adverse cardiovascular events prediction may improve outcomes. The aim was to evaluate the ten-year predictors of MACE in patients without angina.
Preesha Premsagar   +2 more
doaj   +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   +5 more sources

Review of statistical methods for survival analysis using genomic data [PDF]

open access: yesGenomics & Informatics, 2019
Survival analysis mainly deals with the time to event, including death, onset of disease, and bankruptcy. The common characteristic of survival analysis is that it contains “censored” data, in which the time to event cannot be completely observed, but ...
Seungyeoun Lee, Heeju Lim
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

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

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

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   +3 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

On Cox proportional hazards model performance under different sampling schemes.

open access: yesPLoS ONE, 2023
Cox's proportional hazards model (PH) is an acceptable model for survival data analysis. This work investigates PH models' performance under different efficient sampling schemes for analyzing time to event data (survival data). We will compare a modified
Hani Samawi, Lili Yu, JingJing Yin
doaj   +2 more sources

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