Joint Modeling of Multivariate Longitudinal Data and Its Application / 世界科学技术-中医药现代化
World Science and Technology-Modernization of Traditional Chinese Medicine
;
(12): 1443-1448, 2017.
Artículo
en Chino
| WPRIM
| ID: wpr-696043
ABSTRACT
Multiple outcomes measured repeatedly for the same subject are common in longitudinal observation.If we use the approach by analyzing each outcome separately,it may lead to wrong conclusions due to the failure of accounting for joint evolution of different outcomes.To adequately capture the interdependence among multiple outcomes,we proposed a joint modeling for multivariate longitudinal data by constructing a linear mixed-effects model for each outcome and accommodating the relationship among multiple outcomes through correlation in random effects.Maximum likelihood method was adopted to estimate parameters in this model.The application of this method was demonstrated through the analysis of stroke data.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Idioma:
Chino
Revista:
World Science and Technology-Modernization of Traditional Chinese Medicine
Año:
2017
Tipo del documento:
Artículo
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