New Inference Procedures for Semiparametric Varying-Coefficient Partially Linear Cox Models
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-25
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
In biomedical research, one major objective is to identify risk factors and study their risk impacts, as this identification can help clinicians to both properly make a decision and increase efficiency of treatments and resource allocation.
A two-step penalized-based procedure is proposed to select linear regression coefficients for linear components and to identify significant nonparametric varying-coefficient functions for semiparametric varying-coefficient partially linear Cox models.
It is shown that the penalized-based resulting estimators of the linear regression coefficients are asymptotically normal and have oracle properties, and the resulting estimators of the varying-coefficient functions have optimal convergence rates.
A simulation study and an empirical example are presented for illustration.
American Psychological Association (APA)
Ma, Yunbei& Luo, Xuan. 2014. New Inference Procedures for Semiparametric Varying-Coefficient Partially Linear Cox Models. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-465786
Modern Language Association (MLA)
Ma, Yunbei& Luo, Xuan. New Inference Procedures for Semiparametric Varying-Coefficient Partially Linear Cox Models. Journal of Applied Mathematics No. 2014 (2014), pp.1-16.
https://search.emarefa.net/detail/BIM-465786
American Medical Association (AMA)
Ma, Yunbei& Luo, Xuan. New Inference Procedures for Semiparametric Varying-Coefficient Partially Linear Cox Models. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-465786
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-465786