Abstract #301666

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JSM 2003 Abstract #301666
Activity Number: 402
Type: Invited
Date/Time: Wednesday, August 6, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract - #301666
Title: Predictive Test for Linked Changes
Author(s): Chaehyung Ahn*+ and Francoise M. Seillier-Moiseiwitsch
Companies: University of North Carolina and University of Maryland, Baltimore County
Address: McGavran-Greenberg Hall CB # 7420, Chapel Hill, NC, 27599-7420,
Keywords: survival advantage ; correlated change ; contingency table ; consensus ; double mutation
Abstract:

Mutations may confer a survival advantage to an organism, but they can also reduce their fitness. In particular, we are interested in identifying correlated changes. We construct a test statistic to detect correlated changes. We consider the general situation where the observed characters at two genomic positions are summarized by a r*c contingency table. When the original data are aggregated into two possible categories at each position (consensus vs. nonconsensus character), we obtain a 2*2 table to derive a test statistic that deals with the total number of double mutations.

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