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Abstract Details

Activity Number: 339
Type: Contributed
Date/Time: Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Defense and National Security
Abstract - #306486
Title: Treatment Heterogeneity and Individual Qualitative Interaction
Author(s): Robert Poulson*+
Companies: U.S. Air Force
Address: 30080 Greenwater Dr., Tehachapi, CA, 93561, United States
Keywords: Causal Inference ; Potential outcomes ; Subject treatment interaction ; Skew-normal distribution ; Crossover interaction ; Probability of similar response

The potential variability in treatment effects across individuals has been recognized as an important consideration in determining the overall effectiveness of a treatment. High variation in a treatment's efficacy across individuals (often referred to as treatment heterogeneity) may have important consequences because the optimal treatment choice for an individual may be different from that suggested by a study of average effects. Qualitative interaction (QI) occurs when at least one subset responds opposite to the average and individual qualitative interaction (IQI) occurs when at least one individual responds opposite to the average. As such, both quantities have been used to assess the potential for individual effects. IQI has been studied in a two treatment parallel design under the assumption of normality. We investigate IQI when the responses are not normally distributed. We do so under a potential outcomes framework that can add insights to results from usual data analyses and to study design features that improve the capability to more directly assess treatment heterogeneity.

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