JSM 2015 Online Program

Online Program Home
My Program

Abstract Details

Activity Number: 420
Type: Contributed
Date/Time: Tuesday, August 11, 2015 : 2:00 PM to 3:50 PM
Sponsor: ENAR
Abstract #316283
Title: Subgroup Mixable Inference with Time-to-Event Outcomes in Personalized Medicine Development
Author(s): Ying Ding*
Companies: University of Pittsburgh
Keywords: Hazard Ratio ; personalized medicine development ; subgroup mixable estimation ; treatment efficacy

In personalized medicine development, the patient population is thought of as a mixture of two or more subgroups that may derive differential treatment efficacy. In order to find the right patient population for the treatment to target, it is necessary to infer treatment efficacy in subgroups and combinations of subgroups through randomized clinical trials. How to correctly assess treatment efficacy in subgroups and their combinations can be nontrivial. It depends on the nature of efficacy measure as well as the estimation procedure. Focusing on the oncology trials with time-to-event outcomes, we show that the commonly used Hazard Ratio (between treatment and control) is not suitable to measure the efficacy in a mixture population. We also show that the current statistical practice of estimating the treatment efficacy in a mixture population has serious flaws. By proposing a subgroup mixable estimation principle, we develop a simultaneous inference procedure, with appropriate efficacy measures, to correctly infer treatment efficacy in a mixture population.

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

Back to the full JSM 2015 program

For program information, contact the JSM Registration Department or phone (888) 231-3473.

For Professional Development information, 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.

2015 JSM Online Program Home