Estimating correlation between multivariate longitudinal data in the presence of heterogeneity

Estimating correlation between multivariate longitudinal data in the presence of heterogeneity

Abstract 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 linea...

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Bibliographic Details
Main Authors: Feng Gao, J. Philip Miller, Chengjie Xiong, Jingqin Luo, Julia A. Beiser, Ling Chen, Mae O. Gordon
Format: Article
Language:English
Published: BMC 2017-08-01
Series:BMC Medical Research Methodology
Subjects:
Bivariate linear mixed model (BLMM)
Multivariate longitudinal data
Correlation
Heterogeneity
Online Access:http://link.springer.com/article/10.1186/s12874-017-0398-1

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http://link.springer.com/article/10.1186/s12874-017-0398-1

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