Cargando…
Estimating correlation between multivariate longitudinal data in the presence of heterogeneity
BACKGROUND: Estimating correlation coefficients among outcomes is one of the most important analytical tasks in epidemiological and clinical research. Availability of multivariate longitudinal data presents a unique opportunity to assess joint evolution of outcomes over time. Bivariate linear mixed...
Autores principales: | Gao, Feng, Philip Miller, J., Xiong, Chengjie, Luo, Jingqin, Beiser, Julia A., Chen, Ling, Gordon, Mae O. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561646/ https://www.ncbi.nlm.nih.gov/pubmed/28818061 http://dx.doi.org/10.1186/s12874-017-0398-1 |
Ejemplares similares
-
Comparing statistical methods in assessing the prognostic effect of biomarker variability on time-to-event clinical outcomes
por: Gao, Feng, et al.
Publicado: (2022) -
Multivariate Longitudinal Analysis with Bivariate Correlation Test
por: Adjakossa, Eric Houngla, et al.
Publicado: (2016) -
Estimation in discrete time coarsened multivariate longitudinal
models
por: Westerberg, Marcus
Publicado: (2023) -
The effect of changes in intraocular pressure on the risk of primary open-angle glaucoma in patients with ocular hypertension: an application of latent class analysis
por: Gao, Feng, et al.
Publicado: (2012) -
Fast covariance estimation for multivariate sparse functional data
por: Li, Cai, et al.
Publicado: (2020)