JSM 2003 Online Program

Abstract #300271

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	351
Type:	Invited
Date/Time:	Wednesday, August 6, 2003 : 10:30 AM to 12:20 PM
Sponsor:	IMS
Abstract - #300271
Title:	Bayesian Analysis for Clinico-Genomic Characterization Studies
Author(s):	Mike West*+
Companies:	Duke University
Address:	Inst. of Stats & Decision Science, Durham, NC, 27708-0251,
Keywords:	Bayesian bioinformatics ; Predictive tree models ; CART ; clinico-genomics ; molecular medicine
Abstract:	I discuss approaches to analysis and modelling of clinical and molecular profile (gene expression) in studies that aim to characterize clinical states and outcomes by combining such data. The talk will focus on modeling and predicting cancer outcomes utilizing traditional clinical risk factors together with large-scale gene expression data. Topics covered will include Bayesian predictive classification tree analyses, including aspects of model development and fitting, and current challenges to methodology, as well as applications.

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