Baseline patient characteristics and mortality associated with longitudinal intervention compliance
dc.contributor.author | Lin, Julia Y. | en_US |
dc.contributor.author | Ten Have, Thomas R. | en_US |
dc.contributor.author | Bogner, Hillary R. | en_US |
dc.contributor.author | Elliott, Michael R. | en_US |
dc.date.accessioned | 2007-12-04T18:30:07Z | |
dc.date.available | 2009-01-07T20:01:16Z | en_US |
dc.date.issued | 2007-12-10 | en_US |
dc.identifier.citation | Lin, Julia Y.; Ten Have, Thomas R.; Bogner, Hillary R.; Elliott, Michael R. (2007). "Baseline patient characteristics and mortality associated with longitudinal intervention compliance." Statistics in Medicine 26(28): 5100-5115. <http://hdl.handle.net/2027.42/57358> | en_US |
dc.identifier.issn | 0277-6715 | en_US |
dc.identifier.issn | 1097-0258 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/57358 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=17477334&dopt=citation | en_US |
dc.description.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. Copyright © 2007 John Wiley & Sons, Ltd. | en_US |
dc.format.extent | 204733 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | John Wiley & Sons, Ltd. | en_US |
dc.subject.other | Mathematics and Statistics | en_US |
dc.title | Baseline patient characteristics and mortality associated with longitudinal intervention compliance | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Medicine (General) | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Biostatistics, School of Public Health, and Survey Methodology Program, Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, U.S.A. | en_US |
dc.contributor.affiliationother | Center for Multicultural Mental Health Research, Somerville, MA 02143, U.S.A. ; Center for Multicultural Mental Health Research, 120 Beacon Street, Somerville, MA 02143, U.S.A. | en_US |
dc.contributor.affiliationother | Department of Biostatistics and Epidemiology, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, U.S.A. | en_US |
dc.contributor.affiliationother | Department of Family Practice and Community Medicine, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, U.S.A. | en_US |
dc.identifier.pmid | 17477334 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/57358/1/2909_ftp.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/sim.2909 | en_US |
dc.identifier.source | Statistics in Medicine | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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