Results 11 to 20 of about 1,497,781 (343)
Additive Functional Cox Model. [PDF]
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 ...
Cui E, Crainiceanu CM, Leroux A.
europepmc +4 more sources
MODEL REGRESI COX PROPORSIONAL HAZARD PADA DATA KETAHANAN HIDUP [PDF]
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
doaj +2 more sources
Analysis of significant factors on cable failure using the Cox proportional hazard model [PDF]
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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Optimal Estimation for the Functional Cox Model
Functional covariates are common in many medical, biodemographic, and neuroimaging studies. The aim of this paper is to study functional Cox models with right-censored data in the presence of both functional and scalar covariates. We study the asymptotic
Qu, Simeng, Wang, Jane-Ling, Wang, Xiao
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The Change-Plane Cox Model. [PDF]
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 ...
Wei S, Kosorok MR.
europepmc +4 more sources
The most popular regression model for the analysis of time-to-event data is the Cox proportional hazards model. While the model specifies a parametric relationship between the hazard function and the predictor vari-ables, there is no specification regarding the form of the baseline hazard function.
Yishu Xue, Elizabeth D. Schifano
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Corrigendum to: Fast Lasso method for large-scale and ultrahigh-dimensional Cox model with applications to UK Biobank [PDF]
Ruilin Li +7 more
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The Impact of the EU Enlargement on the Speed of Decision-Making [PDF]
This paper presents a quantitative empirical study of the impact of the EU enlargements in 1995 and 2004 on the speed of the decision-making process (legislative process).
Nikolai Yu. Kaveshnikov +1 more
doaj +1 more source
Random survival forest in determination of important risk factors on overall survival and disease-free survival in gastric cancer patients [PDF]
Objective: Although the incidence of stomach cancer is decreasing in the world, its incidence is still high in Iran. Despite different treatments for cancer, disease recurrence, and death may occur in some patients.
M. Safari +5 more
doaj +1 more source
Reliability Evaluation and Prediction Method with Small Samples
How to accurately evaluate and predict the degradation state of the components with small samples is a critical and practical problem. To address the problems of unknown degradation state of components, difficulty in obtaining relevant environmental data
Hongyan Dui, Xinghui Dong, Junyong Tao
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