JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 411
Type: Contributed
Date/Time: Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #304618
Title: Decomposition, Gradient, and Reduction Colinearity in High-Dimension Data from Case-Control Study
Author(s): Yuanzhang Li*+ and David Niebuhr and Tianqing Liu
Companies: WRAIR and Walter Reed Army Institute of Research and Walter Reed Army Institute of Research
Address: 503 Robert Grant Ave, Silver Spring, MD, 20910, United States
Keywords: Biomarker selection ; Reduction ; co-linearity ; case control study ; schizophrenia

The effect of individual predictors in a multiple regression may be biased due to the multicollinearity. Multicollinearity often occurs in longitudinal studies, especially when the objective is to study the association between disease and biomarkers. In this study, we proposed space decomposition to group potential biomarkers according their association and use the gradient-nuisance vector approach to reduce the number of biomarkers included in the high-dimension regression. The co-linearity among the biomarkers was dramatically reduced by the method. We use this approach on a US military case control data set to evaluate the association of biomarkers on risk of schizophrenia. The linear correlation among biomarkers was as high as 0.8 and after decomposition, the correlation coefficient among the vectors was lower than 0.3. The predictive power of the model as a whole did not reduce. The

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2012 program

2012 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.