Abstract #300813

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JSM 2003 Abstract #300813
Activity Number: 71
Type: Invited
Date/Time: Monday, August 4, 2003 : 8:30 AM to 10:20 AM
Sponsor: IMS
Abstract - #300813
Title: Causal Inference in Choice-Based Intervention Studies
Author(s): Roderick Joseph Little*+ and Xihong Lin and Qi Long
Companies: University of Michigan and University of Michigan and University of Michigan
Address: Dept. of Biostatistics, School of Public Health, Ann Arbor, MI, 48109,
Keywords: clinical trials ; observational studies ; experimental design
Abstract:

Randomized trials only allow inferences on the selected set of participants who agree to be randomized to the alternative treatments, and attrition may occur when an individual is randomized to a treatment they view as less desirable. Choice-based designs avoid these problems by allowing participants to choose their treatment, but they are clearly subject to selection bias and confounding. A compromise two-stage design was adopted by the "Women Take Pride" study, an intervention study for ways of managing heart disease. Participants were randomized to a randomized arm, where treatment was randomly assigned, or to a choice arm, where treatment was chosen by the participant. Causal inferences for this design are studied using ideas of "principle stratification" presented in Frangakis and Rubin (2000). Attention is paid to structural assumptions needed to identify parameters, and possible modifications of the design that may reduce these assumptions.

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