Colloquium - 19 April 2001

Department of Statistics
Texas A&M University

STATISTICS COLLOQUIUM

DEPARTMENT OF STATISTICS
and
CENTER FOR ENVIRONMENTAL AND RURAL HEALTH STATISTICS
Texas A&M University

Charles Kooperberg

Fred Hutchinson Cancer Research Center

Logic Regression

ABSTRACT: We are concerned with (generalized) regression problems in which all (most) of the predictors are binary, and in which our interest is to discover potential high order interactions between these predictors. This is a situation that, for example, arises in the analysis of SNP data.

Our approach will be to construct new predictors that are logic (Boolean) combinations of the binary predictors. I will discuss how we can construct these models, as well as how to deal with the model selection issue. I will provide an example using (simulated) SNP data of the genetic analysis workshop, as well as an example in which we try to identify some simple risk factors.

This is joint work with Ingo Ruczinski and Michael LeBlanc.

DATE:	Thursday, April 19, 2001
TIME:	4:00 p.m.-5:00 p.m.
PLACE:	Room 150, Blocker

Refreshments will be served in the Blocker Building, Room 447, at 3:30 p.m.

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