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Activity Number: 141
Type: Contributed
Date/Time: Monday, August 7, 2006 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #307600
Title: Nested Markov Compliance Class Model in the Presence of Time-Varying Noncompliance
Author(s): Julia Lin*+ and Thomas R. Ten Have and Michael R. Elliott
Companies: University of Pennsylvania and University of Pennsylvania and University of Michigan
Address: , , ,
Keywords: compliance class ; principal strata ; Markov ; potential outcomes ; randomized ; longitudinal
Abstract:

We consider a Markov structure for partially unobserved, time-varying compliance classes in the Imbens-Rubin (1997) compliance model framework. The context is a longitudinal randomized intervention study where subjects are randomized once at baseline, outcomes and patient adherence are measured at multiple follow-ups, and patient adherence to the randomized treatment could vary over time. We propose a nested latent compliance class model where we use time-invariant, subject-specific compliance principal strata to summarize longitudinal trends of subject-specific time-varying compliance patterns. The principal strata are formed using Markov models that related current compliance behavior to compliance history. Causal treatment effects are estimated as intent-to-treat effects within the compliance principal strata.

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