JSM 2005 - Toronto

Abstract #302285

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 381
Type: Invited
Date/Time: Wednesday, August 10, 2005 : 10:30 AM to 12:20 PM
Sponsor: General Methodology
Abstract - #302285
Title: CACE (Complier Average Treatment Effect) in Trials Involving Two Active Treatments
Author(s): Qi Long*+ and Roderick J. Little and Xihong Lin
Companies: University of Michigan and University of Michigan and Harvard University
Address: Dept. of Biostatistics, Ann Arbor, MI, 48109,
Keywords: CACE ; Clinical Trials ; Propensity Scores ; Principal Stratification ; Non-compliance
Abstract:

Trials involving two or more treatments often are complicated by subjects who do not comply with their treatment assignments. Discussed here are methods of estimating treatment effects for trials involving two active treatment arms and one control arm. One treatment effect of interest in the presence of noncompliance is the complier average treatment effect (CACE: Imbens and Rubin 1996), which is the treatment effect for subjects who would comply regardless of the assigned treatment. The idea of principal stratification (Frangakis and Rubin 2002) is used to extend CACE to trials involving two active treatments and one control and to define possible causal estimands under this setting. Also extended are the instrumental variable (IV: Imbens and Rubin 1996) method for this setting, structural assumptions needed for estimation, and sensitivity analyses to evaluate the influence of key assumptions. To adjust for covariates in this setting, the use of various propensity scores (Rosenbaum and Rubin 1983) and the joint modeling approach (Imbens and Rubin 1997) are examined and the bias and efficiency of different approaches are compared.

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