JSM 2013 Home
Online Program Home
My Program

Abstract Details

Activity Number: 60
Type: Topic Contributed
Date/Time: Sunday, August 4, 2013 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistical Learning and Data Mining
Abstract - #308119
Title: A Resampling-based Ensemble Tree Method to Identify Patient Subgroups with Enhanced Treatment Effect
Author(s): Chakib Battioui*+ and Lei Shen and Stephen J. Ruberg
Companies: Eli Lilly & Company and Eli Lilly & Company and Eli Lilly & Company
Keywords: Tailored Therapeutics ; Predictive Biomarkers ; Multiplicity ; Subgroup Identification
Abstract:

In this paper we describe an approach to identify patient subgroups with enhanced treatment effect in clinical trials. It utilizes ensemble trees based on resampling and naturally produces two consistency measures for each potential subgroup identified. We compare simple ways to combine these measures into an overall summary of strength. Using stratified permutations and out-of-bag samples, the approach also provides a multiplicity-adjusted p-value and bias-corrected estimate of treatment effect, both of which are important for decision-making in tailored therapeutics applications. A simulation study is performed to evaluate the performance of the proposed method.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2013 program




2013 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.