Results 31 to 40 of about 414,671 (320)
Life Cycle, 2023 In medical research, analyzing the time it takes for a phenomenon to occur is sometimes crucial. However, various factors can contribute to the length of survival or observation periods, and removing specific data can lead to bias results. In this paper,
S. Lee
semanticscholar +1 more source
Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent.
Journal of Statistical Software, 2011 We introduce a pathwise algorithm for the Cox proportional hazards model, regularized by convex combinations of ℓ1 and ℓ2 penalties (elastic net). Our algorithm fits via cyclical coordinate descent, and employs warm starts to find a solution along a ...
N. Simon +3 more
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Copula Based Cox Proportional Hazards Models for Dependent Censoring
Journal of the American Statistical Association, 2023 Most existing copula models for dependent censoring in the literature assume that the parameter defining the copula is known. However, prior knowledge on this dependence parameter is often unavailable. In this article we propose a novel model under which
N. W. Deresa, I. Van Keilegom
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Frontiers in Applied Mathematics and Statistics, 2023 Numerous methods and approaches have been developed for generating time-to-event data from the Cox Proportional Hazards (CPH) model; however, they often require specification of a parametric distribution for the baseline hazard even though the CPH model ...
Jennifer L. Delzeit, Devin C. Koestler
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Comparison of radiomic feature aggregation methods for patients with multiple tumors
Scientific Reports, 2021 Radiomic feature analysis has been shown to be effective at analyzing diagnostic images to model cancer outcomes. It has not yet been established how to best combine radiomic features in cancer patients with multifocal tumors.
Enoch Chang +7 more
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Fitting the Cox proportional hazards model to big data. [PDF]
BiometricsWang J, Zeng D, Lin DY.
europepmc +3 more sources
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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Bayesian random threshold estimation in a Cox proportional hazards cure model [PDF]
, 2013 Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/102705/1/sim5964 ...
Bellile, Emily L. +3 more
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BMC Research Notes, 2017 Background Uganda just like any other Sub-Saharan African country, has a high under-five child mortality rate. To inform policy on intervention strategies, sound statistical methods are required to critically identify factors strongly associated with ...
Justine B. Nasejje, Henry Mwambi
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A penalized Cox proportional hazards model with multiple time-varying exposures [PDF]
, 2017 In recent pharmacoepidemiology research, the increasing use of electronic medication dispensing data provides an unprecedented opportunity to examine various health outcomes associated with long-term medication usage.
Gao, Sujuan, Liu, Hai, Wang, Chenkun
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