@article{ref1,
title="Baseline patient characteristics and mortality associated with longitudinal intervention compliance",
journal="Statistics in Medicine",
year="2007",
author="Lin, Julia Y. and ten Have, Thomas R. and Bogner, Hillary R. and Elliott, Michael R.",
volume="26",
number="28",
pages="5100-5115",
abstract="Lin et al. (http://www.biostatsresearch.com/upennbiostat/papers/, 2006) proposed a nested Markov compliance class model in the Imbens and Rubin compliance class model framework to account for time-varying subject noncompliance in longitudinal randomized intervention studies. We use superclasses, or latent compliance class principal strata, to describe longitudinal compliance patterns, and time-varying compliance classes are assumed to depend on the history of compliance. In this paper, we search for good subject-level baseline predictors of these superclasses and also examine the relationship between these superclasses and all-cause mortality. Since the superclasses are completely latent in all subjects, we utilize multiple imputation techniques to draw inferences. We apply this approach to a randomized intervention study for elderly primary care patients with depression.<p /><p>Language: en</p>",
language="en",
issn="0277-6715",
doi="10.1002/sim.2909",
url="http://dx.doi.org/10.1002/sim.2909"
}