JSM 2005 - Toronto

Abstract #302478

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 341
Type: Invited
Date/Time: Wednesday, August 10, 2005 : 8:30 AM to 10:20 AM
Sponsor: IMS
Abstract - #302478
Title: Decision Theory and Genomic Experiments
Author(s): Giovanni Parmigiani*+
Companies: Johns Hopkins University
Address: Sidney Kimmel Comprehensive Cancer Ctr., Clinical Trials & Biometry, Baltimore, MD, 21205, United States
Keywords: genomics ; FDR ; decision theory ; screening
Abstract:

High-throughput genomics experiments measure properties of a massive number of genes simultaneously. Most are noisy and performed to generate ideas and clues for more detailed analyses, rather than to verify well-formed biological hypotheses. Yet, there is an explosion of multiple testing techniques for genomics experiments. Is multiple hypothesis testing a useful fiction in genomics, or are we ignoring the science in favor of something manageable (so to speak) but disconnected from the goals of our colleagues in the lab? This talk will try to help find an answer that works for all data analysis by suggesting the simpler question: Why are we doing this analysis in the first place?

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Revised March 2005