Nested Markov compliance class model in the presence of time-varying noncompliance.

Full Abstract

SUMMARY: We consider a Markov structure for partially unobserved time-varying compliance classes in the Imbens-Rubin (1997, The Annals of Statistics 25, 305-327) 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 their 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 relate current compliance behavior to compliance history. Treatment effects are estimated as intent-to-treat effects within the compliance principal strata.

Author information

Author/s: Lin, Julia Y (JY); Ten Have, Thomas R (TR); Elliott, Michael R (MR);

Affiliation: Center for Multicultural Mental Health Research, Cambridge Health Alliance-Harvard Medical School, Somerville, Massachusetts 02143, USA. jlin(-atsign-)charesearch.org

Grants: P30-MH066270 (Agency:NIMH NIH HHS) ; R01 MH078016-02 (Agency:NIMH NIH HHS) ; R01-MH61892 (Agency:NIMH NIH HHS) ; T32-MH065218 (Agency:NIMH NIH HHS)

Journal and publication information

Publication Type: Journal Article; Research Support, N.I.H., Extramural

Journal: Biometrics (Biometrics), published in United States. (Language: eng)

Reference: 2009-Jun; vol 65 (issue 2) : pp 505-13

Dates: Created 2009/06/23; Completed 2009/09/02;

PMID: 18759831, status: MEDLINE (last retrieved date: 9/4/2009)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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