Abstract #301027

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JSM 2003 Abstract #301027
Activity Number: 346
Type: Invited
Date/Time: Wednesday, August 6, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Stat. Sciences
Abstract - #301027
Title: Issues in Bayesian Tree Modeling of Clinical and Gene Expression Data
Author(s): Jennifer L. Pittman*+ and Mike West
Companies: Duke University and Duke University
Address: ISDS, Durham, NC, 27708-0251,
Keywords: classification trees ; gene expression ; prediction ; Bayesian modeling
Abstract:

We have developed an approach to the analysis and modeling of clinical and gene expression data based on Bayesian tree models. Our current aim is to generate classification tree models that can use such data to predict cancer-related outcomes for patients of interest. The development and generation of these tree models involves statistical issues such as the specification of a Bayesian model for the data, the choice of a measure to determine tree growth, and the selection of a method for searching through the tree model space. This talk will focus on a discussion of these issues in the context of our modeling approach. An example of the application of our models to the prediction of breast cancer outcomes will be presented.

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