Results 11 to 20 of about 14,153,398 (236)
A Robust Parameterization for Unbounded Covariates Within the Cox Proportional Hazards Model [PDF]
, 2014 The Cox proportional hazards model is widely used in the analysis of medical data either for survival or time to a particular event. Factors and continuous covariates can be easily incorporated into the model and hazard ratios calculated.
Trevor F. Cox +7 more
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Journal of Computational and Graphical Statistics, 2021 We propose the Additive Functional Cox Model to flexibly quantify the association between functional covariates and time to event data. The model extends the linear functional proportional hazards model by allowing the association between the functional covariate and log hazard to vary non-linearly in both the functional domain and the value of the ...
Erjia Cui +2 more
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The change-plane Cox model [PDF]
Biometrika, 2018 We propose a projection pursuit technique in survival analysis for finding lower-dimensional projections that exhibit differentiated survival outcome. This idea is formally introduced as the change-plane Cox model, a non-regular Cox model with a change-plane in the covariate space dividing the population into two subgroups whose hazards are ...
Susan, Wei, Michael R, Kosorok
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, 2000 Bimonthly magazine discussing topics related to aviation and model airplane engines including collecting, restoring, maintaining, and identifying engines, along with ...
The Model Museum, Dannels, Timothy J.
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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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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
doaj +1 more source
On Cox proportional hazards model performance under different sampling schemes.
PLoS 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
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Machine Learning Predictive Models for Survival in Patients with Brain Stroke [PDF]
Health Promotion PerspectivesBackground: 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
Journal of Multivariate Analysis, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shoubhik Mondal, Sundarraman Subramanian
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Validation of a Cox prognostic model for tooth autotransplantation
Clinical and Experimental Dental Research, 2023 Objectives This study aimed to validate our Cox proportional hazards prognostic model for autotransplantation of teeth with complete root formation using prognostic index (PI) and determine whether the prognosis can be predicted. Patients and Methods The
Toshiya Yoshino +6 more
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