JSM 2011 Online Program

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Abstract Details

Activity Number: 441
Type: Invited
Date/Time: Wednesday, August 3, 2011 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract - #300442
Title: Interaction Assessment in Moderately Sized Randomized Studies
Author(s): Michael LeBlanc*+
Companies: Fred Hutchinson Cancer Research Center
Address: 1100 Fairview Ave N, Seattle, WA, 98109, USA
Keywords: subgroups ; interactions ; regularization
Abstract:

We develop efficient modelling strategies for genetically defined subject subgroups. These methods build on a special case of general interaction models which are sometimes referred to as varying coefficient or effect models. The models are of the form M(T)[(G)] representing a treatment model that potentially varies with respect to genomic profiles or "gating" of the treatment effects or toxicity associations. We study the impact on inferences when T is defined by randomized treatment assignment and explore the connection to other observational genetic association studies where the genetic association can be thought to be "gated" by certain environmental or risk behaviour variables.

To facilitate use of the results for future prevention and therapeutic trial design, the statistical method we develop will allow investigator control over class of subset rules and the fraction of subjects identified by the rules. We extend the class of indexed rules originally developed for simple prognostic models in the Extreme Regression method. In addition, we introduce additional variance control and variable selection for subgroups via Elastic-Net type regularization.


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