Results 21 to 30 of about 426,709 (217)
Limitations of applying the COX proportional hazards model to glioma studies [PDF]
Journal of Translational MedicineJihao Xue +6 more
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VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers. [PDF]
IEEE Trans Knowl Data Eng, 2022 The Cox proportional hazards model is a popular semi-parametric model for survival analysis. In this paper, we aim at developing a federated algorithm for the Cox proportional hazards model over vertically partitioned data (i.e., data from the same ...
Dai W +5 more
europepmc +2 more sources
Using Wavelet Shrinkage in the Cox Proportional Hazards Regression model (simulation study) [PDF]
المجلة العراقية للعلوم الاحصائية, 2022 The proposed method in this paper dealt with the problem of data contamination in the Cox Proportional Hazards Regression model (CPHRM) by using Wavelet Shrinkage to de-noise data, calculating the discrete wavelet transformation coefficients for wavelets
taha ali, Jwana Rostam Qadir
doaj +1 more source
Does the Tax Cuts Policy Lower Firm Survival Risk? Evidence from China [PDF]
E3S Web of Conferences, 2023 This paper examines the effect of tax cuts policy on firm survival risk. We analyze a panel data of China’s listed companies over the period 20082021 based on two different techniques: Kaplan-Meier survival estimator and the Cox proportional hazards ...
Wang Hong +3 more
doaj +1 more source
Tree-augmented Cox proportional hazards models [PDF]
Biostatistics, 2005 We study a hybrid model that combines Cox proportional hazards regression with tree-structured modeling. The main idea is to use step functions, provided by a tree structure, to 'augment' Cox (1972) proportional hazards models. The proposed model not only provides a natural assessment of the adequacy of the Cox proportional hazards model but also ...
Su, Xiaogang, Tsai, Chih Ling
openaire +4 more sources
Mathematics, 2021 Feature selection is a well-known prepossessing procedure, and it is considered a challenging problem in many domains, such as data mining, text mining, medicine, biology, public health, image processing, data clustering, and others.
A. Ewees +8 more
semanticscholar +1 more source
Estimation in a Cox Proportional Hazards Cure Model [PDF]
Biometrics, 2000 Summary.Some failure time data come from a population that consists of some subjects who are susceptible to and others who are nonsusceptible to the event of interest. The data typically have heavy censoring at the end of the follow‐up period, and a standard survival analysis would not always be appropriate.
Sy, Judy P., Taylor, Jeremy M. G.
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A mixed model approach for structured hazard regression [PDF]
, 2004 The classical Cox proportional hazards model is a benchmark approach to analyze continuous survival times in the presence of covariate information. In a number of applications, there is a need to relax one or more of its inherent assumptions, such as ...
Fahrmeir, Ludwig, Kneib, Thomas
core +4 more sources
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
semanticscholar +1 more source
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
doaj +1 more source