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http://hdl.handle.net/1942/31819
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DC Field | Value | Language |
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dc.contributor.author | DUNG, Tran | - |
dc.contributor.author | LESAFFRE, Emmanuel | - |
dc.contributor.author | VERBEKE, Geert | - |
dc.contributor.author | Duyck, Joke | - |
dc.date.accessioned | 2020-08-25T11:04:16Z | - |
dc.date.available | 2020-08-25T11:04:16Z | - |
dc.date.issued | 2021 | - |
dc.date.submitted | 2020-08-11T11:16:17Z | - |
dc.identifier.citation | BIOMETRICS, 77(2), p. 689-701 | - |
dc.identifier.uri | http://hdl.handle.net/1942/31819 | - |
dc.description.abstract | We propose a Bayesian latent Ornstein-Uhlenbeck (OU) model to analyze unbalanced longitudinal data of binary and ordinal variables, which are manifestations of fewer continuous latent variables. We focus on the evolution of such latent variables when they continuously change over time. Existing approaches are limited to data collected at regular time intervals. Our proposal makes use of an OU process for the latent variables to overcome this limitation. We show that assuming real eigenvalues for the drift matrix of the OU process, as is frequently done in practice, can lead to biased estimates and/or misleading inference when the true process is oscillating. In contrast, our proposal allows for both real and complex eigenvalues. We illustrate our proposed model with a motivating dataset, containing patients with amyotrophic lateral sclerosis disease. We were interested in how bulbar, cervical, and lumbar functions evolve over time. | - |
dc.description.sponsorship | KU Leuven, Grant/Award Number: C24/15/034 | - |
dc.language.iso | en | - |
dc.publisher | WILEY | - |
dc.rights | 2020 The International Biometric Society. | - |
dc.subject.other | Bayesian modeling | - |
dc.subject.other | latent variable | - |
dc.subject.other | multivariate longitudinal data analysis | - |
dc.subject.other | Ornstein-Uhlenbeck process | - |
dc.subject.other | oscillating and nonoscillating processes | - |
dc.title | Latent Ornstein-Uhlenbeck models for Bayesian analysis of multivariate longitudinal categorical responses | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 701 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 689 | - |
dc.identifier.volume | 77 | - |
local.format.pages | 13 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Tran, TD (corresponding author), Katholieke Univ Leuven, I BioStat, Leuven, Belgium. | - |
dc.description.notes | trungdung.tran@kuleuven.be | - |
dc.description.other | Tran, TD (corresponding author), Katholieke Univ Leuven, I BioStat, Leuven, Belgium. trungdung.tran@kuleuven.be | - |
local.publisher.place | 111 RIVER ST, HOBOKEN 07030-5774, NJ USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1111/biom.13292 | - |
dc.identifier.pmid | 32391570 | - |
dc.identifier.isi | WOS:000537612400001 | - |
dc.contributor.orcid | Tran, Trung Dung/0000-0001-9967-1012 | - |
local.provider.type | wosris | - |
local.uhasselt.uhpub | yes | - |
local.description.affiliation | [Tran, Trung Dung; Lesaffre, Emmanuel; Verbeke, Geert] Katholieke Univ Leuven, I BioStat, Leuven, Belgium. | - |
local.description.affiliation | [Tran, Trung Dung; Lesaffre, Emmanuel; Verbeke, Geert] Univ Hasselt, I BioStat, Hasselt, Belgium. | - |
local.description.affiliation | [Duyck, Joke] Katholieke Univ Leuven, Dept Oral Hlth Sci, Leuven, Belgium. | - |
local.uhasselt.international | no | - |
item.validation | ecoom 2021 | - |
item.contributor | DUNG, Tran | - |
item.contributor | LESAFFRE, Emmanuel | - |
item.contributor | VERBEKE, Geert | - |
item.contributor | Duyck, Joke | - |
item.accessRights | Restricted Access | - |
item.fullcitation | DUNG, Tran; LESAFFRE, Emmanuel; VERBEKE, Geert & Duyck, Joke (2021) Latent Ornstein-Uhlenbeck models for Bayesian analysis of multivariate longitudinal categorical responses. In: BIOMETRICS, 77(2), p. 689-701. | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 0006-341X | - |
crisitem.journal.eissn | 1541-0420 | - |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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Biometrics - 2020 - Tran - Latent OrnsteinâUhlenbeck models for Bayesian analysis of multivariate longitudinal categorical.pdf Restricted Access | 538.98 kB | Adobe PDF | View/Open Request a copy |
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