JSM 2005 Online Program

Abstract #302441

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	381
Type:	Invited
Date/Time:	Wednesday, August 10, 2005 : 10:30 AM to 12:20 PM
Sponsor:	General Methodology
Abstract - #302441
Title:	Longitudinal Nested Compliance Class Model in the Presence of Time-Varying Noncompliance
Author(s):	Julia Lin*+ and Michael R. Elliott and Thomas T. Have
Companies:	University of Pennsylvania and University of Pennsylvania and University of Pennsylvania
Address:	2400 Chestnut Street, Philadelphia, PA, 19103,
Keywords:	causal inference ; noncompliance ; longitudinal ; latent class ; principal stratification ; potential outcomes
Abstract:	Randomized trials allow comparison between groups to determine the causal effects of the experimental treatments on the outcomes. However, estimation of unbiased causal effects becomes more difficult in the presence of subject noncompliance. The traditional intention-to-treat and as-treated methods ignore noncompliance and could produce biased causal effect estimates. To account for noncompliance, we stratify on partially latent compliance classes (compliers, always-takers, never-takers, and defiers; Imbens and Rubin 1997) in this paper. We consider a longitudinal randomized study where outcomes and treatment adherence are measured at multiple follow-up visits. Because subject compliance may vary over time, we propose a nested latent class model that uses time-invariant subject-specific compliance "tendency" classes (e.g., high compliers, low compliers) to summarize longitudinal trends of compliance patterns.

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