This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 599
Type: Invited
Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Learning and Data Mining
Abstract - #306262
Title: P-Values or Prediction Errors: What Is the Name of the Game in Genomics?
Author(s): Rafal Kustra*+
Companies: University of Toronto
Address: Dalla Lana School of Public Health, toronto, ON, m5t 3m7, Canada
Keywords: statistical genomics ; Receiver Operating Curve ; Multiple Testing Problem ; Sensitivity

In this talk we consider a (now) ubiquitous multiple testing problem (MTP) of genomics. In majority of cases the genomics experiment is considered an exploratory step that: 1) Attempts to confirm the existance of some correlation between genetic and phenotypic effetcs and 2) Suggest a further experimental roadmap. Most methods today return a sea of p-values (even if adjusted for MTP), which is rarely helpful with the two questions above. Moreover individual p-values which focus on association between single genetic effects and a common phenotype often hide the underlying complexities of the experiment and data analysis - many of which are unevenly spread across the genetic probes. In this talk we will consider whether a paradigm shift in high-throughput genomic analysis may be needed when the number of entities examined grows ever larger with technological advances.

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