Integration of Biological Information in the Analysis of High-Dimensional Matched Case-Control Data

• Activity Number: 628
• Type: Topic Contributed
• Date/Time: Thursday, August 8, 2013 : 8:30 AM to 10:20 AM
• Sponsor: Section on Statistical Learning and Data Mining
• Author(s): Mahlet Tadesse*+ and Josephine Asafu-Adjei and Raji Balasubramanian and Brent A. Coull and Rebecca A. Betensky
• Companies: Georgetown University and Harvard School of Public Health and Division of Biostatistics and Epidemiology and Harvard School of Public Health and Harvard School of Public Health
• Keywords: Bayesian variable selection ; matched case-control studies ; biological structure

Abstract

Matched case-control studies are increasingly used in high throughput studies, including fMRI and genomic studies. In this talk, I will present a Bayesian variable selection method we have proposed, which incorporates biological information, such as spatial structure in brain images or biological relationships in genomic data, in the analysis of matched case-control studies.