Pairwise fitting of piecewise mixed models for the joint modeling of multivariate longitudinal outcomes, in a randomized crossover trial.
crossover design
longitudinal
piecewise model
repeated measures
Journal
Biometrical journal. Biometrische Zeitschrift
ISSN: 1521-4036
Titre abrégé: Biom J
Pays: Germany
ID NLM: 7708048
Informations de publication
Date de publication:
Mar 2024
Mar 2024
Historique:
revised:
25
09
2023
received:
30
11
2022
accepted:
11
11
2023
medline:
19
3
2024
pubmed:
19
3
2024
entrez:
19
3
2024
Statut:
ppublish
Résumé
Many statistical models have been proposed in the literature for the analysis of longitudinal data. One may propose to model two or more correlated longitudinal processes simultaneously, with a goal of understanding their association over time. Joint modeling is then required to carefully study the association structure among the outcomes as well as drawing joint inferences about the different outcomes. In this study, we sought to model the associations among six nutrition outcomes while circumventing the computational challenge posed by their clustered and high-dimensional nature. We analyzed data from a 2
Identifiants
pubmed: 38499515
doi: 10.1002/bimj.202200333
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2200333Subventions
Organisme : Foreign Affairs, Trade and Development Canada
Organisme : Canadian International Food Security Research Fund
Organisme : International Development Research Centre
ID : 106510
Informations de copyright
© 2024 Wiley-VCH GmbH.
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