A hidden Markov model approach to analyze longitudinal ternary outcomes when some observed states are possibly misclassified

dc.contributor.author	Benoit, JS
dc.contributor.author	Chan, W
dc.contributor.author	Luo, S
dc.contributor.author	Yeh, HW
dc.contributor.author	Doody, R
dc.date.accessioned	2017-09-07T22:23:36Z
dc.date.available	2017-09-07T22:23:36Z
dc.date.issued	2016
dc.identifier.uri	https://hdl.handle.net/10161/15488
dc.publisher	Wiley Online Library
dc.relation.ispartof	Statistics in Medicine
dc.title	A hidden Markov model approach to analyze longitudinal ternary outcomes when some observed states are possibly misclassified
dc.type	Journal article
duke.contributor.orcid	Luo, S\|0000-0003-4214-5809
pubs.begin-page	1549
pubs.end-page	1557
pubs.organisational-group	Basic Science Departments
pubs.organisational-group	Biostatistics & Bioinformatics
pubs.organisational-group	Duke
pubs.organisational-group	Duke Clinical Research Institute
pubs.organisational-group	Institutes and Centers
pubs.organisational-group	School of Medicine
pubs.volume	35

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