Results 11 to 20 of about 1,478,952 (298)
MODEL REGRESI COX PROPORSIONAL HAZARD PADA DATA KETAHANAN HIDUP [PDF]
Media Statistika, 2013 A lot of events occured in daily life are connected with survival time, for example a time interval that measure the failure of a product, time duration which is needed to recover from disease, the back pain recurred after treatment.
Tuan Hanni, Triastuti Wuryandari
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SURVIVAL ANALYSIS FOR RECURRENT EVENT DATA USING COUNTING PROCESS APPROACH: APPLICATION TO DIABETICS
Media Statistika, 2023 Survival analysis is a branch of statistics for analyzing the duration of time until one or more events occur. Time to recurrence of diabetics including survival data. Diabetes can’t be cured but it can be controlled.
Triastuti Wuryandari, Yuciana Wilandari
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IEEE Access, 2023 In contemporary research, high-dimensional data has become more popular in many scientific fields with the rapid advancement of technology in collecting and storing large datasets.
Nuriye Sancar +3 more
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Model Uncertainty Quantification in Cox Regression
Biometrics, 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
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Review of statistical methods for survival analysis using genomic data [PDF]
Genomics & 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
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Cox regression survival analysis with compositional covariates: application to modelling mortality risk from 24-h physical activity patterns [PDF]
, 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
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Generating Survival Times to Simulate Cox Proportional Hazards Models [PDF]
, 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
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Metalworking fluids and cancer mortality in a US autoworker cohort (1941–2015)
Scandinavian 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
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Cox's Periodic Regression Model
The 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.
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Analysis of significant factors on cable failure using the Cox proportional hazard model [PDF]
, 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
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