Novel Harmonic Regularization Approach for Variable Selection in Cox’s Proportional Hazards Model
Joint Authors
Liang, Yong
Chu, Ge-Jin
Wang, Jia-Xuan
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-23
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Variable selection is an important issue in regression and a number of variable selection methods have been proposed involving nonconvex penalty functions.
In this paper, we investigate a novel harmonic regularization method, which can approximate nonconvex Lq (1/2 The harmonic regularization method can be efficiently solved using our proposed direct path seeking approach, which can produce solutions that closely approximate those for the convex loss function and the nonconvex regularization. Simulation results based on the artificial datasets and four real microarray gene expression datasets, such as real diffuse large B-cell lymphoma (DCBCL), the lung cancer, and the AML datasets, show that the harmonic regularization method can be more accurate for variable selection than existing Lasso series methods.
American Psychological Association (APA)
Chu, Ge-Jin& Liang, Yong& Wang, Jia-Xuan. 2014. Novel Harmonic Regularization Approach for Variable Selection in Cox’s Proportional Hazards Model. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1034670
Modern Language Association (MLA)
Chu, Ge-Jin…[et al.]. Novel Harmonic Regularization Approach for Variable Selection in Cox’s Proportional Hazards Model. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1034670
American Medical Association (AMA)
Chu, Ge-Jin& Liang, Yong& Wang, Jia-Xuan. Novel Harmonic Regularization Approach for Variable Selection in Cox’s Proportional Hazards Model. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1034670
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034670