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Review
. 2014 Feb;23(1):42-59.
doi: 10.1177/0962280212445834. Epub 2012 Apr 20.

The analysis of multivariate longitudinal data: a review

Geert Verbeke  1 , Steffen Fieuws, Geert Molenberghs, Marie Davidian
Affiliations
Review

The analysis of multivariate longitudinal data: a review

Geert Verbeke et al. Stat Methods Med Res. 2014 Feb.

Abstract

Longitudinal experiments often involve multiple outcomes measured repeatedly within a set of study participants. While many questions can be answered by modeling the various outcomes separately, some questions can only be answered in a joint analysis of all of them. In this article, we will present a review of the many approaches proposed in the statistical literature. Four main model families will be presented, discussed and compared. Focus will be on presenting advantages and disadvantages of the different models rather than on the mathematical or computational details.

Keywords: Mixed models; conditional models; latent variables; marginal models; random effects; shared parameters.

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References

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