A Two-Stage Penalized Logistic Regression Approach to Case-Control Genome-Wide Association Studies
Joint Authors
Source
Journal of Probability and Statistics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-12-11
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
We propose a two-stage penalized logistic regression approach to case-control genome-wide association studies.
This approach consists of a screening stage and a selection stage.
In the screening stage, main-effect and interaction-effect features are screened by using L1-penalized logistic like-lihoods.
In the selection stage, the retained features are ranked by the logistic likelihood with the smoothly clipped absolute deviation (SCAD) penalty (Fan and Li, 2001) and Jeffrey’s Prior penalty (Firth, 1993), a sequence of nested candidate models are formed, and the models are assessed by a family of extended Bayesian information criteria (J.
Chen and Z.
Chen, 2008).
The proposed approach is applied to the analysis of the prostate cancer data of the Cancer Genetic Markers of Susceptibility (CGEMS) project in the National Cancer Institute, USA.
Simulation studies are carried out to compare the approach with the pair-wise multiple testing approach (Marchini et al.
2005) and the LASSO-patternsearch algorithm (Shi et al.
2007).
American Psychological Association (APA)
Zhao, Jingyuan& Chen, Zehua. 2011. A Two-Stage Penalized Logistic Regression Approach to Case-Control Genome-Wide Association Studies. Journal of Probability and Statistics،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-487587
Modern Language Association (MLA)
Zhao, Jingyuan& Chen, Zehua. A Two-Stage Penalized Logistic Regression Approach to Case-Control Genome-Wide Association Studies. Journal of Probability and Statistics No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-487587
American Medical Association (AMA)
Zhao, Jingyuan& Chen, Zehua. A Two-Stage Penalized Logistic Regression Approach to Case-Control Genome-Wide Association Studies. Journal of Probability and Statistics. 2011. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-487587
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-487587